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Job Description Job Title: New Cafe Opening Manager Reports to: Senior New Cafe Opening Manager With a projected 1,000 cafes in the United States by 2030, Paris Baguette is one of the fastest-growing neighborhood bakery cafés in the world. Our vision is to reestablish the neighborhood bakery café as the heart of the community around the world. Paris Baguette’s mission is to bring expertly crafted baked and brewed goods through a warm and welcoming bakery café experience that delivers joy to everyone. If you are someone who has heart, wants to spread joy, nourish community and is ready to rise to the occasion, we are looking for you to join our growing team! WHAT WE ARE HUNGRY FOR As the New Cafe Opening Manager (NCOM), you will be the leader of the NCO Team, and a point person for each opening. You are ultimately responsible for a seamless opening process, along with the rest of the NCO team. You will be responsible for training the NCO Franchise owner and their General Manager (GM) on all management functions of operating their business. You will also need to ensure that our NCO Specialists, who are responsible for Front of House training with Retailers, are adhering to the training plans, and there is high impact to their training with all new hires. Your focus is on ensuring you and the NCO team are driving a culture of teaching and learning around sales, service, quality and operational excellence to ensure we leave new Franchise teams with learnings that support their success. KNOWLEDGE AND RESPONSIBILITIES • Trains Franchise Owners and General Managers on the basic management functions that they need to excel in to run a solid operation, such as impactful scheduling, time and attendance management, management of cash handling process and processes, inventory management, and general people leadership., • Arrives on site ahead of full NCO Team to test and calibrate espresso machine, TurboChef, and POS ensuring the café is prepared to hold training., • Directing the reception, organization, and storage of the initial product, smallware, and disposable orders ensuring health and safety codes are met., • Hangs compliance signage in accordance with the local and federal law while ensuring all Marketing and promotional materials are to specification., • Provides training to Owner/GM and all FOH and BOH teams on understanding and creating a culture aligned to Paris Baguette’s Mission, Vision and Brand Values., • Provides training to Owner/GM and all FOH and BOH teams on the adhering to the highest standards of product quality, and be able to identify what “good” looks and tastes like, and what opportunity with production looks and tastes like., • Works collaboratively with Owner/GM to provide feedback on staffing of the Front of House and Back of House teams to ensure there is a fully staffed and trained team during the opening, and make recommendations for any gaps., • Works closely with the NCO Production Manager and Owner/General Manager to ensure that the café is producing the appropriate amount of quality product based on each day’s projected sales volume, while managing to sales and traffic trend., • Works collaboratively with NCO Production Manager to train Owner/General Manager on end of Month Back of House inventory, per company guidelines., • Works collaboratively with NCO Production Manager to train Owner/ General Manager and Back of House team on the process of ordering and receiving shipments., • Works collaboratively with NCO Production Manager to train FOH & BOH teams on sanitation and food safety standards., • Work closely with NCO Production Manager & NCO Production Specialists to collaborative ensure BOH new hires are provided with refreshers on prior training as well as are supporting with production execution., • Is constantly providing direction and clarity around best in class Paris Baguette processes and procedures, to operate at the highest level of effectiveness and efficiency., • Partner daily with Franchise/District Manager on successes and opportunities., • Work closely with Franchise/District Manager, NCO Production Manager, and Owner/GM on a plan to address daily opportunities., • Work closely with Training and Development as well as the District Production teams to support the opening., • Ability to work extended workdays to support the business as needed., • Ability to travel and have a flexible work schedule., • Will support Field Operations, as needed, during open time in between scheduled openings., • Other duties may be assigned. WHAT YOU NEED TO HAVE • At least 5 years of Restaurant experience/ Bakery Café experience preferred., • Flexible, adaptive, upbeat, open and visible management style., • Solution oriented in all ways. Excellent judgement and decision making skills in the field., • Passion for people! Dynamic and engaged leader who has a passion for empowering, inspiring, motivating & developing team members., • Exceptional organizational and communication skills with the ability to effectively balance priorities and deliver results in a fast-paced, ever-changing, and highly entrepreneurial environment., • Feedback is a gift! Ability to provide constructive feedback and recognition to every member of the organization, to ensure we have an open and transparent culture of high performance standards, • High emotional intelligence with the ability to work with, and manage diverse teams by being highly empathetic, intuitive, self-motivated and driven., • Teams Win! Has to be a team player who fosters a collaborative and engaged teamwork environment., • Being a Brand Ambassador, with an excellent knowledge of and commitment to Paris Baguette’s Mission, Vision, Brand Values and Culture., • Love of travel! Ability to travel to all new Corporate and Franchise locations, nationally, as well as in some cases internationally (Canada). SWEET BENEFITS • Competitive compensation, • Free Cake for your Birthday, • Medical, Dental, Vision benefits, • 401K Retirement Plan, • Paid time off, paid Holidays, • High Performance Culture

Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M. Deep expertise in deep learning and broad fluency across the modern ML toolkit, with strong familiarity with optimization metho

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Publications studying tokenization, data quality, dataset curation, or labeling * Contribution to a major open source corpus * Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. * A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. * Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. * Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. * You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. * You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs * Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) * 8+ years of experience designing mission-critical machine learning platforms * 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience leading GenAI or LLM-Powered application architectures in production * Deep understanding of Responsible AI, data privacy and multi-tenant security patterns * K8s mastery (multi-region clusters, service mesh) * Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description WHO WE ARE Crossmedia is the global media independent. We're committed to doing media and business the right way, guided by the principles of TRUST, REASON and the Pursuit of HAPPINESS. Crossmedia US was founded in NY in 2000 and is one of the largest minority-owned full-service media planning & buying agencies in the nation. We are 500+ Crossmedians worldwide with big ambitions to continue to grow with soul. We focus on what media agencies should do: create innovative connections between brands and people regardless of channel or budget. And we do it in an honest way. We are and always have been a values-based organization. We earn our clients TRUST by ensuring media transparency in our business model and objectivity in decision-making. We apply REASON & logic to finding solutions to our clients' greatest business challenges. The Pursuit of HAPPINESS matters to us. Big time. We invest in each colleagues' professional & personal wellbeing and growth. It's why we have countless initiatives, clubs & cultural events dedicated to our people and why we have been the top ranked media agency named to Ad Age's Best Places to Work for the past seven years in a row. We have offices in the US in New York and Philadelphia, with employees across 25+ states, as well as in London and Germany. Our client roster includes U.S. Bank, Invesco, Newell Brands, NASCAR, Planet Fitness, American Cancer Society, Ricola, Herschend Family Entertainment, Edible Arrangements and more. YOUR ROLE We're hiring an Executive Assistant to support select members of our Executive Leadership Team (ELT). The role covers administrative functions as well as on-site meeting & event support in collaboration with our Operations team. This position is based in the NY office. While we offer a hybrid work setting, due to the nature of the role, there is an expectation of in-office presence most of the time (4 days a week) and when needed for executive or event support. The Executive Assistant ensures our executives maintain the strategic mindset vital to a growing agency. The ideal candidate has the organizational talents to keep calendars aligned, travel smooth, minutiae handled and the right information prioritized so that our leaders can focus on the broader agency vision. RESPONSIBILITIES • Enhance the efficiency & focus of assigned ELT member(s) to ensure that agency goals are accomplished, and the company operates in a manner true to our values (or as we say - Scale with Soul), • Proactively manage complex schedules & coordinate meetings across domestic & international time zones and internal & external parties, • Manage travel arrangements including transportation, lodging and any related advance coordination (e.g. local information detail, itineraries, etc.), • Manage executive communications including filtering & prioritizing incoming information & requests, drafting client & vendor correspondence, contact management and liaising with various internal executives & group leaders as needed, • Assist with executive meetings including booking conference rooms, food & beverage, IT & other appropriate resources, • Handle executive documentation needs (e.g. expenses, timesheets, internal processes) and ensure timely submission & compliance, • Monitor executive communications as needed during off-hours, including occasional weekend check-ins, to ensure urgent matters are addressed in a timely manner, • Maintain professionalism and strict confidentiality with all materials & conversations, • Support on-site/off-site agency meetings & events in collaboration with the XM Operations team, • Four or more years of experience in an administrative role reporting directly to upper management, • Resourceful, proactive and can problem-solve quickly, • Extremely organized, detail-oriented and able to anticipate executive needs, • Advanced time-management skills, able to multi-task and coordinate multiple concurrent projects, • Collaborative and team-oriented, • Excellent written and verbal communication skills, • Savvy with computer skills including Microsoft Word, PowerPoint, Excel, Outlook and experience with Smartsheet is a plus, • AI experience and capabilities --, • Use AI tools to streamline emails, documents, and presentations, • Manage calendars, meetings, and projects with smart automation, • Support leadership with research, reports, and actionable insights CROSSMEDIA BENEFITS Our principles of Trust, Reason, and the Pursuit of Happiness are brought to life through benefits that recognize and support the diversity and physical, emotional, and professional well-being of our people, including: • Flexibility to work in hybrid manner with in-office and work from home options (depending on role)., • Open/Flexible PTO with US & UK specific policies, • Sponsored healthcare options and agency-wide physical & mental health support, • 401k with company match (USA), and generous Pension (UK), • Paid sabbatical at significant milestone anniversaries, • Generous paid parental leave policy, • Life milestone recognition & support, • The Pursuit of Happiness Fund devoted to helping Crossmedians find their happy (be it travel, enrichment class, fitness membership or professional development), • Cell phone/tech reimbursement, • Student Loan payment plan (US), • Tuition reimbursement, • Learning & Development and training programs, • And burgers – lots and lots of burgers COMMITMENT TO DIVERSITY AND INCLUSION Diversity is in our DNA. As a minority-owned company, our commitment to an inclusive environment has long been embedded into agency practices and at every level. Almost one third of senior leadership identifies as a person of color and over half of our executive leadership are women. We have active mentoring & internship programs that create opportunities for underrepresented groups. Internal agency programming is anchored by XMEquity365, a permanent, year-round initiative fostering acknowledgement and support of marginalized communities within five pillars – Excellence, Voices, Education, Giving & Representation. Crossmedia is committed to providing equal employment opportunities and creating a diverse and inclusive company culture and that does not discriminate against candidates and employees because of their disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other basis prohibited by applicable federal, state, or local law. All job requirements are subject to possible revision to reflect changes in the position requirements, business necessities and/or to reasonably accommodate individuals with disabilities. Essential and other job functions are subject to modification. This job description in no way states or implies that these are the only duties to which will be required in this position. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliance with laws in the US and UK ). Continued employment remains on an "at-will" basis." Reasonable accommodations may be provided to enable individuals with disabilities to perform essential functions in compliance with the American with Disabilities Act of 1990 (US based) Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job: • Prolonged periods of sitting at a desk and working on a computer. Must be able to remain in a stationary position 50% of the time., • Ability to stand, bend, and reach, • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer., • The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: As a Lead Machine Learning Engineer in our Luxury Travel organization, you will architect the intelligent systems that power Capital One Travel's vision for the high-end market. You'll have the unique opportunity to transform complex data into bespoke, anticipatory experiences for our most discerning travelers. If you are a visionary technologist who thrives at the intersection of cutting-edge AI and human-centric design, and you're driven to redefine the gold standard of travel through innovation, this is the perfect role for you. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications * Retrain, maintain, and monitor models in production * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI * Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (GenAI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Gateway, FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : * Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform * Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics * Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows * Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models * Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions * Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities * Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : * Master’s Degree in Computer Science or a Master’s Degree in Software Engineering * Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) * Experience building platforms that support LLM training, fine-tuning, or high-throughput inference * Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies * History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Experienced - Mechanical Engineers Type: Contract Compensation: $100/hour Location: Remote Duration: 3–4 weeks Commitment: 10–20+ hours/week Role Responsibilities • Diagnose and solve real issues in mechanical engineering to support AI lab research., • Create tasks and deliverables for common requests within your domain., • Contribute expertise to advance machine learning systems., • Work independently and asynchronously to meet deadlines. Must-Have • Bachelor's degree from an accredited institution., • PhD or 4+ years of experience., • Upload resume, • AI interview based on your resume

Job DescriptionBenefits: • 401(k), • 401(k) matching, • Competitive salary, • Dental insurance, • Employee discounts, • Health insurance, • Opportunity for advancement, • Paid time off, • Training & development The Resale Revolution Starts With You! Every great team is led by a great leader. As an Assistant Manager, you will assist the Store Manager with day-to-day operations and bring our brand promise to life: to offer a fun, fashion-centered, and affordable shopping experience to our communities. Assistant Managers help drive Crossroads' values- creating an inclusive environment where all feel welcome to enjoy a second-hand shopping and selling experience. Minimum Requirements: Prior experience in retail management (1 year+) Have a good eye for fashion and current trends. Must be able to work a minimum of 31 hours per week. Must be authorized to work in the United States. What Youll Do: When you join Crossroads, you are joining the sustainable fashion movement and reshaping fashion culture. And you arent just impacting the planets future- you are impacting your own. • We have clear paths for promotion and several routes you can take as you embark on your second-hand management journey., • Youll learn how to run a second-hand business youll embody an entrepreneurial spirit- learning everything from buying, merchandising and inventory practices to gaining and maintaining the trust of a customer base who has been devoted since day one.You are:, • A Team Player. You are as enthusiastic about the success of others as you are about your own success., • Authentic. You are your unique self!, • Fashion-focused. You eat, breathe, and sleep style. Fashion is life., • Adaptable. You feel comfortable adjusting to changing circumstances and encourage your teammates to do the same. We problem-solve together!, • People-first. You are energized by people. You radiate kindness and positivity! You understand your impact and are someone who uplifts others., • A Trainer. You enjoy explaining how things work and have patience when teaching others.You will:, • Engage. You get to meet new people, every day! Lead by examplegreet each customer with a smile and welcome them to our store. Create a welcoming, fun, and inclusive environment to shop and work in., • Prioritize + Delegate. There will be a lot coming your way from running breaks to noticing lines- youll need to use your team to get everything done and run the store like a well-oiled machine!, • Be Customer-focused. You will guide your team to help customers learn how we work and try selling! Each customer has different needs and its up to your team to help them out., • Be a Mentor and Coach. Youll guide your team members in developing their skills using our training tools and growth plans. Your goal is to support your team!, • Be Transparent. You will have clear and consistent communication with your manager. Partnership is a cornerstone of our leadership philosophy- two heads are better than one! We all bring unique perspectives to problem-solving!, • Have Integrity. You will act with integrity in words and actions- do the right thing and do it right, even when its difficult., • Be Compassionate. You will embody our core values of service, inclusion, and education. Its important that we connect with all customers and try our best to help them., • Be Reliable. You will show up to work on time and ready to go!, • Support your physical + mental health. We care about our employees wellbeing and offer a mental health day in addition to sick PTO., • Encourage you to live your best life by taking vacation time!, • Offer you a set schedule with 2 consecutive days off., • Give you incentives when you work during the holidays. We give you overtime pay for select holidays throughout the year, and are closed on Thanksgiving and Christmas., • Contribute to your 401(k). Free money? Well match up to 6% of your contribution as soon as you are eligible! We offer both a Roth and traditional 401(k)., • Offer a generous discount on all merchandise including luxury consignment pieces- shop where you work!, • Be Transparent. We have clear pay ranges and always advertise pay for positions. We believe in pay equity., • Offer Earned Wage Access. Need money before payday? Youll be able to access pay as you earn it through our partner app ZayZoon, • Empower you. Our Employee Resource Group (ERG) gives you a seat (and a voice) at the table. Employees meet monthly to discuss shaping the company through a diverse lens and meeting DEI commitments., • Let you take the lead. We offer clear paths for growth and ongoing professional development that are straightforward and attainable., • Celebrate with you. Well provide you with many opportunities to bond with your team as you celebrate successes together. One of the first companies to pioneer secondhand clothing as an alternative to traditional retail, Crossroads Trading has been buying, selling, and consigning name brand and designer clothing in a friendly, fun, and fashionable atmosphere since 1991. Since opening the doors of its first location in the heart of San Franciscos Fillmore District, Crossroads has expanded over time to 39 retail locations spanning Northern and Southern California, Chicago, Seattle, Portland, Denver, New York, Houston, and Dallas. And in recent years, we have added Sell-By-Mail and Concierge programs to provide convenient new ways for fashionable and eco-conscious customers to sell their gently used clothing. Crossroads has been featured in Harpers Bazaar, Teen Vogue, and LA Mag, and is widely recognized as an industry leader in the resale revolution. If you like sustainability, fashion, and working in a fun, positive environment, youll enjoy a career with us! #HP123

Distinguished AI Engineer (Agentic AI Platform) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. * A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. * Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. * Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. * You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. * You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs * Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) * 8+ years of experience designing mission-critical machine learning platforms * 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience leading GenAI or LLM-Powered application architectures in production * Deep understanding of Responsible AI, data privacy and multi-tenant security patterns * Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders * K8s mastery (multi-region clusters, sericie mesh) * Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description: Develop and answer open-ended AI security research questions that helps NVIDIA understand, measure, and reduce risk in frontier models, agentic systems, AI platforms, and AI-enabled products. Develop practical methods, prototypes, evaluations, or tools that reveal how AI systems can fail under adversarial conditions and how those risks can be mitigated. Explore a range of AI security problems, such as LLM and agent security, adversarial testing, model evaluation, cyber-defense automation, vulnerability discovery, secure deployment, or autonomous response. Translate research into usable outcomes for engineering and security teams, including proof-of-concept demonstrations, benchmarks, technical guidance, mitigations, and secure-by-design recommendations. Collaborate across offensive security, product security, AI research, platform, cloud, and infrastructure teams to connect research insights with NVIDIA's highest-impact security priorities. Help shape NVIDIA's AI-security research strategy by mentoring others, identifying emerging risks, and building repeatable practices for evaluating and defending AI systems. Requirements: 12+ years of experience in AI security, cybersecurity research, applied ML research, offensive security, cyber defense, or related technical fields. Demonstrated record of original research and practical impact, such as deployed security ML systems, AI-security evaluations, CVEs, patents, publications, conference talks, open-source tools, production mitigations, or funded research programs. Hands-on ability to build working research systems in Python and modern ML/data tooling such as PyTorch, JAX, TensorFlow, scikit-learn, Pandas, NumPy, Spark, BigQuery, or comparable platforms. Experience with one or more AI-security areas: LLM security, adversarial ML, model evaluation, agent security, prompt injection, model backdoors, data poisoning, model abuse, secure RAG, synthetic data, or AI-enabled security automation. Strong cybersecurity foundation, including threat modeling, adversary simulation, exploit or vulnerability research, malware analysis, network defense, threat hunting, detection engineering, digital forensics, secure code review, or incident-response automation. Ability to work across ambiguous research problems and practical product constraints, translating findings into prioritized recommendations and measurable security outcomes. Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Cybersecurity or a related field. Experience leading AI-security research for major models, AI platforms, security products, or large-scale production systems. Benefits: equity benefits

Job Description: Collect data from multiple sources, using collected data to diagnose business needs of clients Work closely with Data Scientists, Consultants, and external clients to identify insights, translate data analysis to stakeholders, and share results of data analysis Implement analytics solutions to address marketing effectiveness, return on investment (ROI), brand equity impact, segmentation, pricing, and environmental factors Work with Senior Data Scientists and other associates to ensure quality of data models, including modeling methodologies, data/model validation metrics, actionable insights, and analytical/technical best practices Implement multi-touch attribution models (MTA) and marketing mix models (MMM) based on statistics, econometrics, and machine learning techniques such as logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, and clustering algorithms Analyze big data sets to generate insights on media, market conditions, and web navigations Validate model results, compiling these results into reports on ROI analysis, forecasting, simulation, and optimization Requirements: Master’s degree in Analytics, Statistics, Data Science, Operations Research, or related field required quantitative analytics multivariate regression time-series modeling Bayesian statistics segmentation modeling machine learning data mining simulation optimization forecasting SQL R Python experimental design causal inference hypothesis testing exploratory data analysis feature engineering dimensionality reduction (e.g., PCA) model validation data visualization cloud computing and big data querying (Google BigQuery) probabilistic inference pipeline automation regularization methods (ridge, lasso) model tuning and evaluation statistical reporting Benefits: flexible time off for exempt associates paid time off for non-exempt associates up to 12 paid holidays per year health benefits (including medical, dental, and vision plan options and health spending accounts) mental health support disability benefits up to 12 weeks of paid parental leave adoption assistance fertility planning coverage legal benefits long-term care insurance commuter benefits tuition reimbursement charity gift matching employee stock purchase plan 401(k) retirement savings with employer match access to TransUnion’s Employee Resource Groups

JOB TITLE: Windows System Administrator JOB LOCATION: Washington, DC (REMOTE) WAGE RANGE*: 65.00-70.00 per hour JOB NUMBER: SAIJP00038792 REQUIRED EXPERIENCE: BS in Computer Science, Systems Engineering, or related technical field or equivalent experience with at least 8+ years in systems engineering or administration (6+ years with a MS/MIS Degree) Experience orchestrating workflows to execute at predefined times, including workflows that have data dependencies. Proficiency in DevOps tools; scripting languages including PowerShell 5 years of experience with Directory services (Microsoft Active Directory, Entra ID/Azure AD), Certificate Administration and DNS 4 years experience providing Tier II & III Windows support for Windows OS 3 years of Experience with ADFS, OKTA or other Authentication services Experience managing certificates and certificate authorities like Microsoft, Digicert, Entrust/Sectigo and SSL.com Ability to work well with people from many different disciplines with varying degrees of technical experience Ability to work well without constant supervision Ability to express complex technical concepts effectively, both verbally and in writing JOB DESCRIPTION Senior Windows Server Systems Administrator to support the ESA V program. ESA V is an IT Services program supporting several customers within the Department of Justice. The program provides a range of IT services, including help desk, deskside support, Windows engineering and maintenance, managed print services, ITSM, Account Management Services, Cybersecurity, Cloud technologies and other IT services. We need you to participate in fostering a DevOps culture and building strong cross functional collaboration with all areas of development, product, and QA in a dynamic and fast paced environment supporting the development of a data pipeline and machine learning services. The individual selected for this position will be a member of the ESA V engineering team and the primary work location in Washington, DC and the work will be performed remotely. Some travel may be required based on the program needs and requirements. Excellent hands-on knowledge of Windows enterprise management technologies is required for this position. You will work closely with the Infrastructure Engineering Manager on the following key tasks: Configure and troubleshoot Windows Server operating system in support of Active Directory, DNS and Certificate Authorities. Demonstrate extensive understanding of Active Directory systems and be able to manage and maintain them Demonstrate extensive understanding of DNS, Certificate Authority, Certificate Management and Authentication Services – ADFS, SAML, SSO, OKTA Applying STIG and VPR adjustments as required Manage the certificate environment to ensure certificates are issued on time and installed with no outage Develop scripts to monitor and check health of Active Directory, DNS and Certificate Authorities. Design, develop, and support scalable, redundant infrastructure to include physical, virtualized and cloud environments Install, configure and manage a windows-based certificate authority sever Install, configure and maintain group management policies including role-based management Set up administrator and service accounts, maintain system documentation, tune system performance, install system wide software Apply NIST, DISA security controls, security hardening changes based on best practice Validate and implement critical system patches, and allocate directory storage space Improve existing infrastructure to incorporate latest technology best practices and cross application integrations Day-to-day collaboration with engineering teams and system owners, to influence design, and architect solutions in multi-tiered environments Manage individual project priorities, deliverables, and deadlines Produce clear documentation for delivered solutions Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities * While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Job DescriptionFollow your passion Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. Currently, we operate multiple elementary and middle schools in the Bronx and Upper Manhattan, and are opening three new elementary schools in Queens for the 2025-26 school year. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children. Our Network office is located at 401 W. 218th St., New York, NY 10034. Our Network team follows a hybrid work schedule: we work in-person from our office on Tuesdays and Thursdays with optional remote days on Mondays, Wednesdays, and Fridays, if your team's scope of work permits. Deliver powerful results To achieve our vision, we are searching for a a Manager of Early Elementary Literacy with a Master's Degree and at least 3 years of experience with a proven record of leading exceptional academic outcomes in early elementary reading, and demonstrated leadership at the school or network level. Responsibilities: • Literacy Vision and Strategy: Design a rigorous and engaging early elementary literacy experience for our students based on inquiry, strong understanding of complex texts, development of foundational literacy skills, and learning how to collaborate and communicate powerful ideas, • Achieve Annual Academic Goals: Lead early elementary literacy with a high bar of excellence to meet rigorous annual goals assessments including comprehension and foundational reading, • Collaboration and Problem Solving: Develop authentic and meaningful relationships across Zeta to collaborate effectively to support growth in service of student learning. View every challenge as an opportunity for root cause analysis and change, • Science of Reading Knowledge and Experience: Demonstrated track record of expertise in the Science of Reading and supporting all students to become excellent readers and writers, • Curriculum and Assessment Management: Create and curate literacy curriculum across curriculum and assessment materials aligned with the New York State Learning Standards and our Zeta Learning Competencies, including unit plans, lesson plans, and assessments. Ensure a coherent sequence of learning through unit and lesson plans grounded in critical thinking, • Professional Learning: Design and lead early elementary literacy professional learning trainings for school principals, assistant principals, and teachers to lead to excellent academic results, • Instructional Management: Develop clear instructional management plans to ensure all early elementary literacy instruction is consistently implemented at a high level. Observe instruction across Zeta schools and develop leaders and teachers in service of ensuring programming is implemented at a high level to lead to exceptional academic outcomes, • Data Analysis: Study data to identify gaps and take action to ensure leaders and teachers are using data to increase learning outcomes, • Feedback Driven: Embrace a growth mindset. Actively seek, provide, and incorporate feedback, while fostering a culture of continuous improvement and collaboration, • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Monthly stipend for wellness and lifestyle expenses (gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace and free Headspace subscription, • MacBook Air and specified monthly reimbursement for use of a mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team

Job Description: Working with internal and external clients, data providers, and other 3rd parties Enhance and execute team priorities by leveraging data and analytics, predictive analytics, machine learning Delivering business requirements and technical specifications for data science team Project coordination/management, presentations to executive staff, client interactions Support clients and business partners via operational excellence, strategic thought, and organized project prioritization and delivery Requirements: Bachelors / Master’s degree in Engineering, Business, Economics/ Statistics or equivalent 11+ years of experience in data and analytics with direct experience working with Patient Hub/CRM, Specialty Pharmacy, Market Access data Knowledge of cloud based storage, Tableau, PowerBI and other data visualization software. Knowledge of copay assistance programs including coupons, PAP, bridge programs, copay accumulators/maximizers and other leading industry initiatives Proficiency at SQL, Tableau, PowerBI, Snowflake knowledge AWS, GCP or Azure certifications Benefits: Health insurance Remote work options

Job Description: Support the design, enhancement, and operation of enterprise financial analytics solutions. Assist in the development and maintenance of Microsoft Fabric data pipelines. Support NJTA financial analytics workflows. Enhance Power BI semantic models, measures, and reports. Contribute to machine learning and forecasting initiatives. Perform data quality checks and document assumptions. Assist with schema design and data governance best practices. Help automate recurring analytics and reporting processes. Participate in exploratory analysis and ad hoc financial modeling to support planning decisions. Collaborate with Finance, IT, and Analytics stakeholders to translate business requirements. Requirements: Currently pursuing a degree in Finance, Data Analytics, Computer Science, Information Systems, Engineering, or a related field. Strong analytical and problem‑solving skills with a high attention to detail. Interest in financial data, analytics, and modern data platforms. Familiarity with Excel; experience with Power BI, SQL, Python, or PySpark is a plus. Exposure to databases, data modeling, or ETL concepts preferred. Ability to learn quickly, manage multiple priorities, and work independently with guidance. Strong written and verbal communication skills, with the ability to explain technical concepts clearly. Benefits: TransCore complies with federal and state disability laws and provides reasonable accommodation for employees with disabilities.

JOB TITLE: SR DATA SCIENTIST JOB LOCATION: REMOTE, WASHINTON DC WAGE RANGE*: 72.00-76.00 PER HOUR JOB NUMBER: SAIJP00038728 REQUIRED EXPERIENCE: Master's degree, PhD preferred in Statistics, Mathematics, or a related quantitative field, with 5–8+ years of applied data science experience Mastery of Python or R, statistical tools such as Stata, SAS and strong SQL Expertise with ML algorithms (e.g. model selection, evaluation, feature engineering, etc.) Expertise with application of AI to deliver insights with optimal performance, cost savings, etc. using structured, unstructured data Expertise with data visualization tools (e.g. Tableau, Matplotlib) Experience processing large datasets, deploying LLMs in government cloud data platforms (e.g. Azure ADLS/Databricks/Azure ML, or equivalents) Comparative understanding of LLMs (e.g. Claude Code, ChatGPT), and tradeoffs in terms of capabilities, cost, and performance Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling are essential Familiarity with FISMA/NIST/Zero Trust security frameworks Current Principal Data Scientist (PDS) Certification JOB DESCRIPTION Senior Data Scientist who will work closely with client stakeholders to support economic analysis of national importance through application of advanced statistics and data science techniques and technologies. In this position, you will utilize your strong background in statistics, machine learning, generative AI, visualization, economic analysis, and big data processing to plan and execute projects to meet business client data needs. Requirements: Partner with stakeholders to scope questions and assumptions, support solution design, and facilitate project execution Design and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasets Build transparent, reproducible pipelines and analysis environments in cloud infrastructures Produce crisp exhibits and memos that explain methods, limitations, and uncertainty Facilitate and execute data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science Create compelling data visualizations and reports that convey complex research findings in a clear and accessible manner to both technical and non-technical stakeholders Support defensible analytics and econometric/causal inference workstreams, translating ambiguous business or legal questions into testable hypotheses and clear, client-ready findings Design and execute rigorous studies (e.g., difference-in-differences, panel models with fixed/random effects, instrumental variables/2SLS, time series/forecasting, etc.) to turn multi-source datasets into documented, auditable results Mentor teammates on best practices Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects Preferred: Experience with Spark/Databricks. Domain exposure to antitrust, pricing, healthcare claims, fraud/forensics, or financial analysis is a plus. Experience producing reproducible, peer-reviewed-method analyses that meet Rule 702/Daubert reliability requirements and can withstand Daubert challenges (methods, error rates, standards/controls, and appropriate bounds on conclusions) Contribution to open-source projects or participation in relevant data science communities. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities * While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

CS/IT Graduates or About to be Grads. Get Hired by following a Process! Graduating with a CS degree is impressive — but it’s not enough anymore. Employers want hands‑on experience, real projects, and interview‑ready candidates. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you’re ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness : projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI —full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI —so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway , not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers , Java full stack developers , Python/Java developers , DevOps-focused engineers , and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers . The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways , and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume Resolve hardware, software and network problems Provide hardware / software technical support Providing software and hardware support to end users Provide technical hardware, software and network support to end users Assist in troubleshooting software application issues Provide technical support for both hardware and software issues users Perform software and hardware demos Maintaining inventory of hardware/software in the computer Troubleshoot all support issues for the company (hardware/software/network) Develop applications software and systems Inquire regarding computer software or hardware operations to resolve problems Supporting maintenance of system software and hardware components Determine computer problems and to coordinate hardware and/or software solutions Configure and upgrade computer hardware / software Plan software releases in accordance with other software applications Provide system level support to all personnel for all company computer software Provide user orientation on hardware, software and network operations Perform first-line troubleshooting on various hardware and software Provide user PC hardware/software phone support Provide computer support services both for hardware and software through company help desk system

HEAD OF PRODUCTION We are UNR — an award winning, tech-forward, full service creative production company that supports agencies, brands and distributors alike across all media, genres, channels and formats globally at scale. We are ambitious, growing and shaping the next era of integrated production. We bridge the gap between the entertainment and brand worlds, and are equally respected and acknowledged in both. We’re seeking a Head of Production to lead our global expansion, with a primary focus on North America. With studios in NYC, LA, DET & TOR, this person will lead our production teams, grow our revenue and represent UNR’s creative, strategic and cultural vision. This is the person responsible for ensuring UNR delivers world-class creative work across everything we make, operates effectively and efficiently with our external clients and our internal disciplines, and continues expanding our capabilities and reputation as a future forward, next generation production company. This is a leadership role for someone who thrives in a creatively driven, hybrid environment—part executive, part producer, part creative, part technologist and part culture-builder. ROLE OVERVIEW The Head of Production will oversee all production disciplines—Live Action, Photo, Post, AI, Experiential and Integrated Content—and serve as the primary executive steward for UNR’s creative output and production business. You will guide creative and strategic decision-making, manage senior client and agency relationships, build and optimize high-performing production teams, and drive commercial growth in each office. This role requires a solutions minded, creatively oriented, resourceful, practitioner who can operate within the work and the client meetings, not just above them. The ideal candidate brings diplomatic excellence, deep production and post production expertise, digital and generative technology knowledge, financial acumen and a highly collaborative leadership style. Our Unreasonable Head of Production will focus predominantly on always elevating Production & Post Production. This means a thorough understanding of the marketplace, interest and experience with well known production companies, best in class and emerging talent whether directors, DPs, editors, special effects talent, producers as well as the clients and their often complex needs in an ever evolving production environment. KEY RESPONSIBILITIES 1. Function Leadership • Provide overall production leadership for UNR — operationalising production capabilities, ensuring creative excellence and accuracy and diligence in delivery in all instances., • Serve as the senior-most representative in Production for UNR across all global clients, partners and agency collaborators., • Demonstrate thought leadership and practical implementation across AI and generative tech, video, post, social, photo, design and other emerging technologies., • Collaborate with global UNR leadership including Finance, Operations, Talent, etc. to align practice, culture and standards across all offices, clients and partners., • Serve as our public facing ambassador when it comes to clients, consultants, conferences, creative delivery and the community of production. 2. Oversight of Production & Post • Oversee production across all disciplines and formats—from brief, bidding, creative treatment, budgeting, shooting, editorial and finishing through execution and delivery—ensuring efficiency, profitability, and world-class quality and creative standards we are known for., • Provide management, guidance and oversight to Executive Producers, Integrated Producers and Post teams., • Create and uphold production frameworks, processes, project management and workflows using the latest tools, technology and software to their greatest effect. Demonstrate excellence in customization not just automation., • Maintain accountability for on-time, on-budget and on-scope delivery across the entire portfolio., • Drive the strategic adoption of Generative AI and machine-learning tools across the production lifecycle—from AI-assisted storyboarding and pre-visualization to automated rotoscoping, dialogue cleanup and "vanity" VFX in post—ensuring UNR remains at the frontier of production efficiency., • Move AI from "experimentation" to "standard operating procedure" by building robust guardrails for ethical AI use, IP protection, and quality control, ensuring that AI-enhanced outputs meet our world-class creative standards., • Be a leader in standardizing and optimizing the Adobe Creative Cloud ecosystem across all global hubs (NYC, LA, DET, TOR, LON), leveraging Adobe Creative Cloud, Workfront, AEM and Frame.io to ensure a Chase the Sun talent optimization, seamless asset sharing, real-time collaboration and version control across time zones., • Lead the ongoing evolution of our post-production stack, ensuring teams are trained on the latest Adobe features (such as Firefly-powered Generative Fill or AI-based audio enhancement) to reduce manual labor and maximize creative "maker" time. 3. Team Leadership, Development & Culture • Mentor and inspire all production personnel to produce the very best work across the entire production eco-system ensuring exceptional creative delivery and flawless execution., • Build the next wave of UNR talent: recruit, hire, coach, and develop producers, coordinators, creative production specialists and beyond., • Foster a proactive, highly creative, supportive, accurate and solutions-oriented environment. Build on our “maker’ mentality and craft culture., • Model leadership and mentorship at all times—setting the standard for how UNR shows up on set, with clients, and with each other., • Develop best-in-class client service and hospitality on behalf of UNR around productions, new studios, major industry events and conferences, etc. 4. Financial Management & Commercial Growth • Own the financial performance of production jobs including revenue forecasting, cost controls and profitability targets., • Partner closely with CEO, Finance & Operation to build regular business reports, revenue analysis and annual planning., • Create pricing models, rate cards, SOW frameworks, partnership agreements and scalable commercial systems., • Expand external client revenue within the Stagwell network; build relationships with brands, agencies and production partners to grow the UNR pipeline., • Adept at leveraging emerging production technologies to modernize workflows, reduce manual effort and elevate the quality and consistency of outputs. 5. Client & Agency Relationship Leadership • Serve as the senior point of production contact for key stakeholders at all Stagwell agencies, • Build long-term relationships with agency partners and external clients; ensure UNR is seen as an indispensable creative production partner., • Deliver executive oversight on pitches, treatments, creative decks, and major production approaches., • Champion a “find a way” mindset—warm, collaborative, fast and solutions-oriented. 6. Business Development & Brand Expansion • Showcase new talent, new projects, new technologies, new techniques that will help UNR develop new business., • Identify new revenue streams, new services, strategic partnerships and new categories where UNR can excel., • Attend industry events, festivals and emerging-tech environments on behalf of UNR, representing our capabilities and creative point of view. 7. Cross-Office Leadership & Travel • Maintain a strong presence across all N.A. offices; expect to be on the road visiting offices, sets, clients and partners, • Ensure cohesion across time zones, teams and active productions., • Train leadership, improve communication systems and ensure all offices work as one UNR. WHO YOU ARE • A seasoned production executive with 12–15+ years across live action, post, photo, animation integrated content and emerging/generative tech., • Experience beyond advertising agencies, very ideal in clear production first environments and/or in-house set ups., • A natural leader who balances creative ambition with operational rigor., • Comfortable balancing craft, commerce, creativity and culture., • Hands on vs hands off. Rolls sleeves up and works through problems on eye level., • Entrepreneurial, resourceful and excited to grow a new business., • A trusted advisor to agencies, directors, creatives and brand clients., • A mentor and culture builder—someone people love working with., • Calm under pressure; decisive; endlessly solutions-oriented., • Ideally based in New York, Detroit or Los Angeles.

$13 - $13/hourpayVideo CapturingIMU (Inertial Measurement Unit)Attention to DetailAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, New Hampshire, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Utah, and Wisconsin. Timeline: Applications close on May 8th at 5 pm PST Job Summary: Join our customers' team as a Data-Video Generalist and play a pivotal role in shaping the future of activity recognition. We are seeking U.S.-based experts to help collect synchronized IMU and video data via smartphones, contributing to next-generation machine learning models. If you are passionate about robotics, detail-oriented, and thrive on consistent, high-quality output, this opportunity is for you. Key Responsibilities: • Capture precise motion data using your smartphone’s sensor suite (IMU) during specified physical tasks., • Supported devices include the iPhone 11 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later., • Record synchronized video footage to validate and enhance the integrity of collected sensor data., • Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards., • Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration., • Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes., • Ensure timely and reliable delivery of data outputs in accordance with project milestones., • Participate in required device compatibility checks and a custom AI-enabled interview process. Required Skills and Qualifications: • Access to a head strap to be able to record both hands within 48 hours of the start date., • Demonstrated adherence to standardized protocols and rigorous technical instructions., • Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment., • Strong written and verbal communication skills; ability to document work and collaborate remotely., • Experience with mobile devices and a high level of digital literacy., • Physical capability to perform repetitive movement tasks safely and accurately., • Access to a compatible smartphone for high-fidelity sensor and video data collection., • Eligibility to work in designated U.S. states. Compensation is output-based; experts are paid per minute of recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Videos must be at least 2 minutes in length. Experts must submit a minimum of 10 hours of video per week. Hands-Free Capturing: This project uses a smartphone head strap for video. It’s a nice-to-have if you already own one. If you don't own one, once selected, we will offer you a sign-up bonus to cover the cost of this equipment to secure your readiness to work. We Move Fast: We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application.

Company Description Mundial Media is an AI-powered advertising platform designed to understand cultural nuances through advanced machine learning, without relying on cookies or IDs. Utilizing its proprietary Cadmus AI technology, Mundial Media analyzes millions of pages daily to deliver high-quality, brand-safe, and culturally relevant content across sports, entertainment, lifestyle, and emerging multicultural trends. The platform leverages billions of real-time signals to create dynamic, contextually relevant segments that ensure privacy-safe accuracy, stronger engagement, and scalable solutions for brands. Mundial Media specializes in connecting brands with their audiences at the most impactful cultural moments through premium publishing partners. Role Description This is a full-time hybrid Senior Account Manager role based in New York, NY. The Senior Account Manager will work closely with clients to understand their business needs, build and maintain strong relationships, and oversee account management processes. Responsibilities include creating strategic plans, driving account growth, ensuring client satisfaction, monitoring campaigns, and delivering performance reports. Some remote work flexibility is available for this role. Qualifications • Experience in Client Account Management, Relationship Building, and Client Retention, • Strong Communication, Presentation, and Negotiation Skills, • Proficiency in Data Analysis and Campaign Performance Reporting, • Knowledge of Digital Advertising, Ad Technology, and AI-driven Platforms, • Problem-Solving and Strategic Thinking Abilities, • Ability to manage multiple accounts and meet deadlines, • Bachelor’s degree in Business, Marketing, or a related field, • Prior experience in the advertising, tech, or media industry is a plus

About the Role Taktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day. • Taktile is based in New York, London, and Berlin., • Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services., • Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford, and some of us have no degree at all., • Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere., • Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath., • We’re backed by some of the world’s leading investors and show great traction with scale-ups and large enterprises across the financial services and insurance industry. We are looking to build on this success by growing our sales team, professionalizing our go-to-market, and acquiring more enterprise customers. That’s where you come in. As an Enterprise Account Executive, you are core to our mission of building and expanding Taktile’s enterprise customer base, ensuring our innovative solutions empower large organizations to optimize their decision-making processes. You will play a critical role in driving growth by creating a robust pipeline of enterprise accounts and guiding them through complex sales cycles with expertise and care. As a trusted partner and credible brand ambassador, you will represent Taktile in the enterprise market, building strong relationships with senior-level stakeholders across multiple departments. About You • You’ve met or exceeded your sales targets for 5+ years at $300K+ ACVs., • You have extensive experience managing complex deal cycles of 6+ months., • You know how to build deep, strategic relationships with senior customer stakeholders, including C-suite executives., • You’re curious and customer-centric, with a talent for understanding enterprise customers’ challenges and delivering solutions tailored to their needs., • You’re humble and have a growth mindset, eager to continuously learn, implement new methodologies, and bring best practices into the business., • You’re collaborative and thrive in cross-functional environments, working closely with Marketing, BDR, and Customer Success teams., • You’re strategic and creative—always finding innovative ways to engage prospects and enhance the enterprise buying experience., • You have exceptional communication skills, with an ability to craft compelling messages that resonate with enterprise stakeholders., • You have a proven track record selling SaaS/software subscriptions to Financial Services and/or enterprise-scale businesses., • You are highly skilled in prospecting and navigating complex organizations to identify and engage decision-makers. What You'll Do • Sell Taktile’s innovative decisioning software solution to large enterprise customers in Financial Services to meet or exceed your revenue targets., • Develop a deep understanding of our enterprise target markets, ideal customer profiles, and competitive landscape., • Manage a pipeline of complex, multi-stakeholder sales opportunities from lead to close, focusing on long-term value., • Drive outbound prospecting efforts to engage and qualify enterprise accounts., • Qualify and nurture opportunities generated by BDRs and Marketing., • Lead discovery sessions, product demos, and executive presentations to showcase Taktile’s value proposition., • Provide a seamless and outstanding buying experience for our enterprise customers., • Collaborate with the Customer Success team to ensure smooth handovers and long-term customer success., • Upsell and cross-sell within enterprise accounts to maximize value for customers and drive revenue growth., • Leverage proven enterprise sales methodologies such as MEDDICC and Challenger., • Use CRM and sales tools such as HubSpot, Salesforce, LinkedIn Sales Navigator, etc., to manage and track progress., • Provide market feedback to Product, Marketing, and Leadership to influence the roadmap and go-to-market strategies. Ideal, But Not Required • Experience working in an early-stage start-up (Seed - Series B)., • Deep knowledge of the FinTech, data, or ML/AI landscape. Our Offer • Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here, • Make an impact and meaningfully shape an early-stage company, • Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo, • Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe., • Receive a top-of-market equity and cash compensation package, • Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes., • Use the equipment of your choice including meaningful home office set-up Our Stance • We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply, • We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears Compensation • In consideration of market analysis and relevant factors, the salary range for this position is an on-target earning of $250,000 to $300,000. However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Additionally, this role is eligible to participate in our equity plan and benefits program. About us Taktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath.

Duration: 3 months contract Job Description: • The Veterinary Imaging Annotator supports the development of AI-driven solutions within the Petcare Science & Diagnostics team by accurately labeling veterinary radiographic images., • This role is critical to building machine learning models that detect image quality issues in X-rays, helping improve diagnostic accuracy and reduce the need for retakes in clinical settings., • The annotator will review and label large volumes of veterinary imaging data, ensuring high accuracy, consistency, and adherence to established guidelines., • Review and annotate veterinary X-ray images for quality issues and key features, • Accurately label data to support machine learning model development, • Maintain high levels of annotation accuracy and consistency, • Meet defined productivity targets (throughput) and quality benchmarks, • Collaborate with AI teams and veterinary imaging experts, • Identify and resolve edge cases in complex or unclear images, • DVM/VetMB (or equivalent) OR current veterinary student with radiology knowledge, • Strong understanding of veterinary radiography and image interpretation, • High attention to detail and ability to perform repetitive tasks consistently, • 1+ years of clinical or veterinary experience US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring. Recruiter Details: Name: Nil Mukherjee Email: Internal Id: 26-10400

Company Description Zealogics Inc specializes in IT and Engineering Services, providing innovative solutions across Mechanical, Electronics, and Software platforms to facilitate digital transformation. With a focus on customer-centric product strategies and automation frameworks, Zealogics streamlines processes to deliver high-quality results. Serving Fortune 500 enterprises and OEMs, the company prioritizes client satisfaction by connecting experienced professionals to address complex challenges. Integrity and a commitment to long-term partnerships define Zealogics, as they strive to provide their clients with tangible value and world-class services for both full-time and contractual needs. Role Description We are seeking an AI Automation QA Manager for a contract role with Zealogics Inc. This hybrid position, based in North Bergen, NJ, offers a combination of onsite and work-from-home flexibility. The AI Automation QA Manager will oversee automation quality assurance processes for AI systems, develop and manage testing strategies, and ensure software aligns with business requirements. Daily responsibilities will include leading automation testing efforts, collaborating across cross-functional teams, creating automation frameworks, and analyzing results to enhance continuous improvement processes. Qualifications • Proficiency in Automation Testing, developing QA methodologies, and creating test automation scripts, • Knowledge of AI and machine learning systems, algorithms, and frameworks, • Experience with test planning, design, and execution to validate software functionality and quality, • Strong abilities in problem-solving, debugging, and applying improvements, • Expertise with tools such as Selenium, JIRA, and similar QA automation platforms, • Strong communication, organizational, and time-management skills, • Ability to collaborate effectively with cross-functional teams and manage projects within deadlines, • Educational background in Computer Science, Engineering, or a related discipline (Bachelor’s degree preferred), • Experience in the IT or Engineering sector is advantageous but not required, • Familiarity with Agile/Scrum methodologies is a plus

Technical Account Manager – Enterprise Data, AI & Cloud Location: On-site in our NYC Office Role Overview The Technical Account Manager (TAM) is responsible for owning and expanding enterprise and mid-market client relationships across the Data, AI, and Cloud technology ecosystem. This role sits at the intersection of enterprise account management, technical advisory, and delivery leadership. The TAM acts as a trusted partner to client stakeholders, translating complex technical hiring needs into effective talent solutions while driving sustained account growth and revenue performance. Success in this role requires a senior staffing professional who can combine technical market credibility, enterprise relationship management, and strong commercial performance to grow strategic accounts and deliver high-value technical talent. This role owns client relationships, revenue performance, and account growth for assigned accounts and newly developed business. Revenue & Performance Expectations • Annual Gross Profit Target: $1.2M – $1.8M GP, • Expected Account Portfolio: $3M – $5M in managed or developed client accounts, • Account Development Requirement: Demonstrated ability to build and scale accounts from $0 to $2M+ annual revenue, • Deal Mix: Contract staffing, contract-to-hire, and permanent placements across technical roles, • Delivery Model: Partner with internal recruiting teams to execute high-volume and specialized technical hiring, • Full ownership of account strategy, client engagement, and revenue outcomes within assigned portfolio Key Responsibilities Enterprise Account Ownership • Own and manage relationships with enterprise and mid-market clients hiring within Data, AI, and Cloud technology environments, • Develop long-term partnerships with hiring managers, directors, and executive stakeholders, • Serve as the primary client contact for technical hiring strategy and delivery execution Account Growth & Revenue Development • Identify and pursue expansion opportunities within existing client organizations, • Build strategic hiring partnerships that generate recurring revenue streams, • Successfully scale new client relationships from initial engagement to $2M+ annual revenue accounts, • Maintain strong pipeline visibility and forecast revenue performance against annual GP targets Technical Market Advisory • Provide consultative guidance on technical hiring strategies across the modern data stack, • Advise clients on compensation trends, market availability, and hiring timelines for specialized technical talent, • Maintain fluency across Data Engineering, AI/ML, Cloud Architecture, and modern data platform roles Delivery Leadership • Partner with internal recruiting teams to ensure consistent delivery quality across assigned accounts, • Lead role intake discussions and technical requirement calibration with client stakeholders, • Ensure candidate pipelines align with client expectations for technical capability and experience Market Expertise • Maintain strong understanding of the modern data and cloud technology landscape including platforms such as AWS, Azure, Databricks, and Snowflake, • Stay current on emerging skill sets across Data Engineering, Machine Learning, Analytics Engineering, and Cloud Infrastructure Required Qualifications • 10+ years of experience in technical staffing, talent solutions, or enterprise recruiting environments, • Proven success managing enterprise client relationships within technical hiring environments, • Demonstrated experience supporting roles across Data, AI, Cloud, or modern data platform ecosystems, • Proven experience filling Engineering, Architecture, and Senior IT Leadership roles within enterprise technology environments, • Track record of building and scaling client accounts from $0 to at least $2M in annual revenue, • Strong commercial mindset with experience meeting or exceeding individual GP or revenue targets, • Ability to operate as a trusted advisor to senior client stakeholders Preferred Experience • Experience working with enterprise consulting firms, system integrators, or technology partners within the data ecosystem, • Familiarity with hiring across modern data platform roles including:, • Data Engineers, • Machine Learning Engineers, • Cloud Architects, • Analytics Engineers, • Data Platform Engineers, • Technical Directors and Senior IT Leadership roles Key Success Metrics • Annual GP performance against $1.2M–$1.8M revenue target, • Growth and expansion of enterprise client accounts, • Successful development of $2M+ revenue accounts, • Client satisfaction and retention, • Consistent delivery of high-quality technical placements Compensation Range: $100,000-$120,000 base salary + commission *Base salary is dependent on experience and tenure. On target earnings are can vary based on performance. Benefits: Medical, Dental, Vision, 401k options, Long and Short Term Disability, Life Insurance, and 22 days of PTO year 1! This is not an HR or Internal recruitment opportunity. This role is a sales-based role working to achieve sales-based results! This vacancy is for a permanent, full-time role based in the US. Applicants must have independent legal authorization to live and work in the US. It is the policy of Tenth Revolution Group to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law. Find out more about a career in recruitment with Tenth Revolution Group and join us on our incredible adventure:

Centra Healthcare Solutions is seeking an experienced School Psychologist that is certified in the state of practice. • Serve as an integral part of the school community and the driver of student support and social-emotional learning (SEL), • Oversee impressive individualized growth for students who struggle with emotion regulation, social perspective taking, social problem-solving or self control, with the support and guidance of school leadership, experienced network staff, and expert consultants, • Utilize your passion for SEL to create innovative and impactful curriculum, coach teachers on effective execution, and ensure school-wide immersion of all of SEL program components, • Build strong relationships with students and families and lead the school's initiative to ensure students develop and display Excellence, Perseverance, Integrity and Community, our “EPIC” values, driving for strong school culture, • Work closely with the Student Achievement Team and the Committee on Special Education to identify and support students with disabilities, • Serve as an important part of the Response to Intervention (RtI) Team, • Conduct all monolingual psycho-educational assessments, ensuring each student receives appropriate, targeted, and effective support, • To achieve our vision, we are searching for New York State certified School Psychologists with a Master's degree or a Ph.D. in School Psychology, and a proven record of successfully supporting students in crisis and propelling student growth and achievement., • New graduates from School Psychology Master’s/Doctoral programs are welcome, • Early-career School Psychologists with 0–5 years of experience are preferred Deliver powerful results To achieve our vision, we are searching for New York State certified School Psychologists with a Master's degree or a Ph.D. in School Psychology, and a proven record of successfully supporting students in crisis and propelling student growth and achievement. Responsibilities: • Serve as an integral part of the school community and the driver of student support and social-emotional learning (SEL), • Oversee impressive individualized growth for students who struggle with emotion regulation, social perspective-taking, social problem-solving or self control, with the support and guidance of school leadership, experienced network staff, and expert consultants, • Utilize your passion for SEL to create innovative and impactful curriculum, coach teachers on effective execution, and ensure school-wide immersion of all of Zeta’s SEL program components, • Build strong relationships with students and families and lead Zeta’s initiative to ensure students develop and display Excellence, Perseverance, Integrity and Community, our “EPIC” values, driving for strong school culture, • Work closely with the Student Achievement Team and the Committee on Special Education to identify and support students with disabilities, • Serve as an important part of the Response to Intervention (RtI) Team, • Conduct all monolingual psycho-educational assessments, ensuring each student receives appropriate, targeted, and effective support, • Communicate often with other school psychologists and network staff, consulting on challenging cases and completing SEL and student support-specific professional development Join our purpose-driven community Zeta teammates are lifelong learners who live with child-like joy and a deep sense of purpose. We disrupt the status quo and tackle problems together. Our team stands united by our commitment to a limitless future for every child. Our Zeta team is comprised of top talent with incredible schooling and private sector experience. At Zeta: • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team’s needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • We are caring and put team over individual at all times This role currently has immediate openings at our Bronx and Manhattan locations, as well as opportunities for the 2025-26 school year, starting on July 28, 2025. Summer professional development begins for staff in mid-July, and students start the school year in mid-August. The salary range for this position is between $75,000 and $107,000. New hires can expect to be brought into the organization at a salary at or near the start of the range, depending on relevant experience in a full-time School Psychologist role and internal equity. Compensation is based on our salary scales. How does Zeta invest in you? We offer great benefits: • Competitive compensation, • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • Lifestyle savings account, providing a monthly reimbursement for eligible fitness and emotional health expenses, • Free Talkspace therapy and psychiatry services, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Free student loan counseling We provide awesome perks: • Monthly stipend for wellness and lifestyle expenses (gym memberships, salon appointments, concerts – it’s up to you!), • 4 live therapy sessions per month through Talkspace and free Headspace subscription, • MacBook Air and specified monthly reimbursement for use of a mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC’s finest sweet treats, • Books for professional development We care deeply about your personal and professional growth: • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team, • Interactive Mindfulness and DEIJ programming Salary Range = $ 107,000 to $75,000

$6 - $6/hourpayIMUAttention to DetailVideo CaptureAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Latin America and the Caribbean. Selected countries include: Mexico, Costa Rica, Panama, Dominican Republic, Brazil, Argentina, Colombia, Chile, Uruguay, Jamaica, Bahamas, and Barbados. Timeline: Applications close on May 8th at 5 pm PST. Job Summary: Join our customer's team as a Data-Video Generalist and make a direct impact on the future of activity recognition and robotics. In this expert-level, remote role, you will contribute vital synchronized motion and video data, helping to advance cutting-edge machine learning models for next-generation technologies. Key Responsibilities: • Capture precise motion data using your smartphone’s IMU sensors during specified physical activities., • Record synchronized video footage to ensure data accuracy and enhance the integrity of all collected motion data., • Follow detailed technical protocols to consistently meet strict quality, labeling, and determinism standards., • Deliver a minimum of 10 hours of high-quality, approved video data each week throughout the project’s duration., • Communicate clearly and proactively with the team to clarify requirements and share insights on data collection practices., • Maintain timely and reliable delivery of your outputs, aligned with project milestones and expectations., • Participate in device compatibility checks and an innovative, AI-enabled interview process as part of onboarding. Required Skills and Qualifications: • Access to a head strap to be able to record both hands within 48 hours of the start date., • Supported devices include the iPhone 11 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later., • Meticulous attention to detail and a proven record of following standardized protocols., • Demonstrated ability to consistently manage output and meet deadlines in a dynamic, data-driven environment., • Exceptional written and verbal communication skills essential for documentation and remote collaboration., • Advanced tech-savviness and experience with mobile devices for sensor and video data capture., • Physical ability to engage in repetitive movement tasks safely and effectively., • Access to a compatible smartphone capable of high-fidelity data collection. Preferred Qualifications: • Familiarity with structuring large-scale datasets for AI and robotics applications. Compensation is output-based; experts are paid per minute of submitted video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Videos must be at least 2 minutes in length. Experts must submit a minimum of 10 hours of video per week. Hands-Free Capturing: This project uses a smartphone head strap for video. It’s a nice-to-have if you already own one. If you don't own one, once selected, we will offer you a sign-up bonus to cover the cost of this equipment to secure your readiness to work. We Move Fast: We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application.

Background in developing and deploying machine learning solutions in production settings.

Job Title - Delivery Lead Location - Jersey City (3-4 days per week) Salary - Up to 150k We are seeking a Delivery Lead to manage the end-to-end delivery of cutting-edge AI and data platform projects, including solutions leveraging Generative AI and modern data engineering architectures. This role requires strong coordination across cross-functional teams of Data Engineers, Machine Learning Engineers, Architects, and platform specialists to ensure successful implementation and business alignment. Key Responsibilities: • Lead full lifecycle delivery of data and AI solutions – from discovery and design through development, deployment, and adoption., • Collaborate with Solution Architects, Data Scientists, and business stakeholders to validate functional use cases and technical feasibility., • Manage technical risks, drive issue resolution, and ensure the quality and scalability of delivered solutions., • Oversee sprint planning, release management, and production deployment, including post-release monitoring and performance tuning., • Champion best practices in data governance, AI/ML lifecycle management, model interpretability, and ethical AI usage., • 15+ years of experience in delivering enterprise-scale data and AI projects, • Proven success in leading cross-disciplinary technical teams and implementing AI/ML solutions in production environments., • Strong grasp of data architecture, data pipelines, prompt engineering, model deployment, and evaluation metrics., • Excellent communication skills and ability to bridge technical and business teams effectively., • Palantir experience is a plus For more information on benefits and what we offer please visit us at ___

Senior AI Engineer New York, NY - 4 days onsite $250,000 - $275,000 + bonus; $400,000-$500,000 total THE COMPANY Harnham is partnering with a niche PE firm in the NYC area, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying automation and optimization opportunities throughout the portfolio. You'll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment. RESPONSIBILITIES • Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions., • Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability., • Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing., • Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations., • Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use. SKILLS AND EXPERIENCE • BS/MS degree in Computer Science, Machine Learning or a related field., • Over 4 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring., • Background in Software Engineering required., • Enterprise-level application experience, ideally in real-time preferred., • Expertise in cloud infrastructure, machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments., • Experience as a tech-lead for scaling MLE teams preferred., • Commercial experience in smaller teams, scaling startups / scrappy environments a plus. BENEFITS The compensation package contains a base salary, bonus and a comprehensive benefits package. HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. KEY TERMS Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Private Equity | PE | Portfolio | Anomaly Detection | Fintech | Agentic AI | AI Agents | Software Engineering | Software Engineer

About Us At Biz2Credit, we look for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully-configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. About the Role This is a rare opportunity to join a fast-growing team, where you will play a major role in shaping Biz2X's future. We're looking for an exceptional candidate who is excited about the opportunity to build a next-generation financial services business. We believe that there is a tremendous opportunity to leverage cutting-edge data science to inform smarter, faster decision-making. As a Biz2Credit leader in data science, you will shape the company's data-centric culture, work closely with our engineering team to develop our analytics infrastructure, and collaborate closely with our Chief Risk Officer on developing, validating, and automating our customer conversion and underwriting models. Hands-on credit risk/modelling experience in a consumer/small business lending financial institute is a must. Responsibilities Team Leadership and Management • Lead, mentor, and develop a team of data scientists, providing guidance and support in their professional growth and career advancement., • Foster a collaborative and inclusive team culture that encourages creativity, critical thinking, and continuous learning., • Define team goals, priorities, and performance metrics aligned with the company's strategic objectives. Optimize Application Funnel • Collaborate with product, marketing, and engineering teams to analyze and optimize the application funnel, leveraging data-driven insights to enhance user acquisition, conversion rates, and retention., • Utilize predictive modelling and machine learning techniques to identify factors influencing user behavior throughout the application process, enabling targeted interventions to improve user experience and maximize conversion rates., • Implement A/B testing methodologies and experimentation frameworks to iteratively refine and optimize the application funnel, driving continuous improvement in key performance metrics such as conversion rates, customer lifetime value, and user engagement., • Monitor and analyze key metrics related to the application funnel, such as click-through rates, bounce rates, drop-off points, and conversion funnels, to identify areas for improvement and develop data-driven strategies to address them., • Collaborate with cross-functional teams to implement data-driven solutions, such as personalized user experiences, dynamic content optimization, and predictive lead scoring, to streamline the application process and enhance user engagement at each stage of the funnel., • Stay informed about industry best practices, emerging trends, and innovative technologies related to application funnel optimization, and proactively recommend new approaches and strategies to drive continuous improvement and competitive advantage. Build and Maintain Credit Models • Lead the development and maintenance of credit risk models, leveraging advanced statistical techniques and machine learning algorithms to assess and mitigate credit risk across various financial products and customer segments., • Collaborate with risk management and credit underwriting teams to define model requirements, gather relevant data sources, and validate model performance against established benchmarks and regulatory requirements., • Incorporate both traditional and alternative data sources, such as transactional data, behavioral data, and alternative credit data, to enhance the predictive power and robustness of credit risk models., • Monitor the performance of credit models over time, conducting regular model reviews, back testing, and sensitivity analyses to ensure accuracy, stability, and alignment with business objectives., • Work closely with cross-functional teams to implement credit models into decision-making processes, such as loan origination, credit scoring, and portfolio management, and provide ongoing support and guidance to ensure effective model deployment and utilization., • Stay abreast of regulatory developments, industry trends, and best practices related to credit modelling and risk management, and proactively recommend enhancements and refinements to existing models to adapt to changing business environments and regulatory requirements. Data Strategy and Governance • Collaborate with cross-functional teams to define and implement data strategies that support business goals and drive innovation in the lending domain., • Establish and enforce data governance policies and best practices to ensure data quality, integrity, and compliance with regulatory requirements. Advanced Analytics and Modeling • Lead the design, development, and deployment of advanced analytics models and machine learning algorithms to extract actionable insights from large, complex datasets., • Apply statistical techniques and predictive modelling to identify trends, patterns, and correlations that drive business value and enhance customer experiences. Product Development and Optimization • Partner with product managers and engineers to integrate data science solutions into existing products and platforms, as well as to conceptualize and develop new data-driven products and features., • Continuously monitor and optimize the performance of data science algorithms and models to ensure scalability, efficiency, and accuracy. Stakeholder Engagement and Communication • Collaborate closely with key stakeholders, including executives, business leaders, and external partners, to understand business requirements, communicate insights, and influence decision-making., • Present findings, recommendations, and project updates in a clear and compelling manner through visualizations, reports, and presentations. Requirements • Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Economics, or a related field., • 8+ years of experience in data science, machine learning, or artificial intelligence roles, preferably in the Lending or financial services industry., • 3+ years of experience in a leadership or management position, with a proven track record of successfully leading and developing high-performing teams., • Proficiency in programming languages such as Python as well as in data manipulation and analysis tools (e.g., Pandas, NumPy, scikit-learn)., • Strong understanding of statistical methods, machine learning algorithms, and data visualization techniques., • Expertise in NLP techniques and text analytics., • Familiarity with neural network architectures and deep learning frameworks (Pytorch), • Experience with big data technologies and platforms (e.g. AWS) is highly desirable., • Excellent communication skills, with the ability to translate complex technical concepts into business insights and recommendations., • Demonstrated ability to drive innovation, influence stakeholders, and deliver results in a fast-paced, dynamic environment.

Data is Power. AI is the Future. And We’re the Recruiters Behind It. Every company wants to be data-driven. Every industry is exploring how AI can transform the way they work. But none of this happens without the right people, and that’s where we come in. At Harnham, we don’t just recruit in data, we’re specialists. For nearly two decades, we’ve worked exclusively in the data & analytics space, building an industry-leading reputation across: • Data Science & AI – Helping businesses unlock the potential of machine learning and automation., • Data Engineering – Connecting companies with the architects behind scalable, high-performance data systems., • BI & Data Analytics – Finding experts who turn raw data into actionable insights., • Risk & Public Sector Data – Supplying critical talent to organizations shaping society. With AI, data governance, and machine learning accelerating at unprecedented speed, the need for top data talent has never been greater. And that’s exactly what we deliver. Why Recruit with Harnham? • Earning Potential – The demand for data talent is huge, and our recruiters capitalize on it with a competitive commission structure (up to 30%) and annual bonus., • Market Leadership – We’ve been specialists in data & analytics recruitment for almost 20 years. We know this space better than anyone, and we help our recruiters become true market experts., • Brand Recognition – Clients and candidates come to us because we’re known as the go-to firm for data recruitment. That means you’ll have credibility from day one., • Training & Mentorship – Whether you’re new to the data market or already a specialist, we’ll help you sharpen your expertise and become a trusted advisor in your niche., • Career Growth – Looking to bill big, build a team, or step into leadership? We have a structured pathway to help you reach your next career milestone. The Details • Location – New York (Manhattan Financial District), • Hybrid Working – 4 days in-office, 1 day remote, • Start Date – We’re hiring now, but flexible on start date, • Salary – $70,000–$90,000 base, plus commission and bonus (dependent on experience level) Data & AI are shaping the future. Be part of the team connecting the talent that makes it happen.

Career Gap? Outdated Tech stack? Returning to Tech After a Break?? Learn How to Position It Let’s Get you Hired with a Process which Works! Many job seekers assume their skills have expired simply because they’ve been out of the workforce or recently laid off. But the truth is, your foundation is still valuable — it just needs sharpening. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you’re ready to contribute. Rejections can be discouraging, but they don’t reflect your true potential — they reflect your preparation. Re‑entering the tech industry can feel overwhelming, especially after a layoff or career gap. But you don’t have to do it alone. SynergisticIT’s JOPP gives you a fast, structured path back into the field. If you’ve been unemployed for 3–6+ months—or longer—you’ve probably seen how quickly the market can change. A career gap or an outdated tech stack can reduce callbacks, even when you have talent. Recruiters may assume your skills are outdated or your confidence is lower. But gaps don’t define ability. They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure. Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, Deloitte, and more—often with offers between $90,000 and $154,000 depending on role and expertise. Why gaps hurt—and how to neutralize them Employers worry about currency: are your tools current? Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness. JOPP helps you rebuild that proof and confidence systematically. Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI. Please read our blogs Why programs don’t fix gaps Many candidates with gaps try “one more course,” but that rarely changes outcomes. Ideal candidates for gap-to-offer support • Professionals returning after layoffs or personal reasons, • Candidates with limited recent experience but strong potential, • Recent grads who never launched properly A gap isn’t the end of your career. It’s a chapter—and you can write the next one strategically. Want to see credibility and event participation? If you want to explore here are the key links: Contact Us: ___ Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

Junior Funding Specialist About Us At Biz2Credit, we look for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully-configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. About this Role The Junior Funding Specialist plays a vital role within our sales organization, partnering closely with Funding Specialists to drive growth and help small business owners secure the financing they need. This position is designed for a motivated, team-oriented individual who thrives on collaboration, organization, and proactive communication. As a Junior Funding Specialist, you’ll serve as the right hand to our Funding Specialists—helping manage pipelines, support client outreach, prepare proposals, and ensure that every prospect and partner receives an exceptional experience from first contact to funding. You’ll also gain hands-on exposure to the business lending process, including products like Working Capital, Term Loans, Lines of Credit, ERTC Loans, and SBA 7(a) Loans. This is an ideal role for someone looking to build a career in financial sales while developing strong client service and consultative skills in a fast-paced, team-driven environment. Key Responsibilities Sales Support & Coordination Work alongside Funding Specialists to manage daily tasks, track client progress, and ensure deals move efficiently through the sales pipeline. Client Outreach & Follow-Up Assist with initial outreach, follow-up calls, and emails to prospects and partners to maintain engagement and momentum throughout the funding process. Pipeline & CRM Management Maintain accurate records of client communications, applications, and deal statuses in the CRM system; ensure data integrity and timely updates. Proposal Preparation Support the creation and delivery of funding proposals, including gathering required documentation and ensuring terms and product details are clearly communicated. Cross-Team Collaboration Partner with internal teams such as underwriting, credit, and legal to ensure smooth coordination and timely deal progression. Product Familiarity Develop and maintain an understanding of the company’s full suite of lending products—including MCA, Working Capital, Term Loans, Lines of Credit, ERTC, and SBA programs—to confidently support client conversations. Client Experience Ensure every client receives prompt, professional communication and a seamless experience from first touch to funding. Sales Enablement Help identify new opportunities and share feedback with Funding Specialists to optimize sales strategies and improve conversion rates. Reporting Assist in preparing weekly sales reports, performance updates, and activity summaries to help track team progress and goals. Qualifications • 0-1 years of experience in a sales, customer service, or administrative support role (financial services experience preferred)., • Excellent communication and organizational skills., • Strong attention to detail with the ability to manage multiple priorities., • Comfortable working in a fast-paced, team-oriented environment., • Proficiency with CRM systems and Microsoft Office (Excel, Outlook, Word)., • Eagerness to learn and grow within the financial services and lending space. What You’ll Gain • Hands-on exposure to business lending and financial sales., • Mentorship from experienced Funding Specialists and sales leaders., • Growth opportunities within a rapidly expanding FinTech organization., • A collaborative, high-energy work environment that values initiative and teamwork.

About Us: At Biz2Credit, we are looking for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. About the Role Biz2Credit is launching a new small-business credit card, and we are hiring a Director Fraud Risk to build and scale the risk engine that powers the product. This role sits within the Risk organization and focuses on designing and executing the fraud and credit strategies required to safely grow a new card portfolio. You will own fraud and credit risk strategy across the full lifecycle, partner with Data Science on model development, work with product and engineering to implement rules and logic, and collaborate with vendors who support fraud detection, identity verification, and credit decisioning. This is a hands-on, analytics-driven role for someone who has built or scaled card risk systems before. Key Responsibilities Fraud Risk Strategy & Analytics • Develop and manage fraud strategies across the full credit card lifecycle: KYC, KYB, onboarding, transaction monitoring, disputes, and chargebacks, • Build and optimize fraud rules, signals, and decisioning logic, • Partner with Data Science to develop or enhance fraud models, • Monitor fraud KPIs, emerging patterns, and loss trends to adjust strategy, • Work with fraud vendors and platforms to implement rules, workflows, and detection capabilities Credit Risk Strategy & Analytics • Own credit line assignment, credit line increases (CLI), credit line decreases (CLD), and ongoing credit monitoring, • Develop and refine credit risk segmentation, cutoffs, and exposure strategies, • Partner with Data Science online assignment models and credit risk models, • Build dashboards and analytics to track credit performance, delinquencies, and portfolio trends, • Continuously optimize credit policies to balance growth and risk Card Program Buildout & Scaling • Contribute to building the fraud and credit risk foundation for a new credit card program, • Support scaling of the portfolio through iterative strategy, analytics, and model improvements, • Ensure risk systems, rules, and logic are implemented correctly across product, engineering, and vendor platforms Cross‑Functional Collaboration • Work closely with product, engineering, operations, and external vendors to launch and scale long duration programs, • Translate risk strategy into technical requirements for implementation, • Partner with compliance teams as needed; deep expertise not required, but familiarity with Reg Z, Reg B, FCRA, and UDAAP is helpful Qualifications • 5–10+ years of experience in credit card fraud risk, credit risk, risk analytics, or risk modeling, • Hands‑on experience with fraud lifecycle management: KYC, KYB, onboarding, transaction monitoring, disputes, chargebacks, • Experience with credit line strategy: limit assignment, CLI, CLD, and credit monitoring, • Strong analytics background; proficiency in SQL required, Python preferred, • Experience working with fraud and/or credit risk vendors and platforms (e.g., decision engines, fraud tools, KYC/KYB providers), • Experience building or scaling risk strategies for a credit card program, • Ability to work cross functionally with product, engineering, data science, and vendors, • Familiarity with compliance requirements for credit cards; ability to partner with compliance teams Who Thrives in This Role • Someone who has built or scaled a credit card risk engine, • A fraud + credit strategist who is equally comfortable with rules, analytics, and models, • A hands-on operator who can design strategy and also dig into SQL, • Someone who enjoys cross-functional execution and long-term program building, • A risk expert who wants to shape the foundation of a new card product

3-Month Contract (Potential for Extension) Remote Are you passionate about AI and ready to dive into a thrilling project that blends cutting-edge technology with the vibrant world of entertainment? We’re seeking a skilled AI Engineer to participate in building an AI platform that revolutionizes how we create, curate, and deliver short-form content. You’ll work alongside product, engineering, AI, and machine learning experts to build real-world AI systems that shape the future of entertainment. Responsibilities: • Design, develop, and deploy AI agents and systems that power engaging, short-form content experiences, automating and enhancing content analysis and generation workflows., • Use advanced AI technologies, including agentic workflows, Graph RAG, ontologies, knowledge graphs, and multi-modal Gen AI models., • Curate datasets that deliver highly accurate and creative outputs tailored to entertainment needs., • Take ownership of large components from concept to production, driving innovation and ensuring integration with content delivery systems., • Work closely with DevOps to implement MLOps pipelines, versioning, and scalable deployment via Docker/Kubernetes., • Collaborate closely with product, data science, engineering, and creative teams to shape the technical vision and bring bold, imaginative ideas to life. Minimum Qualifications: • Proficiency in Python., • Solid experience with development and deployment tools, including containerization (Docker, Kubernetes) and workflow orchestration (Temporal or similar)., • Hands-on experience in applied AI engineering focused on Generative AI multi-modal models., • Advanced experience with RAG, particularly in vectorization and the use of vector stores. Experience with GraphRAG is highly desirable., • Knowledge of graph concepts and experience with graph databases (Neo4j or similar). Understanding and experience with ontologies is a plus., • Experience with agentic workflow tools (Pydentic, LangGraph, or similar)., • Strong experience with prompt engineering to unlock the full potential of LLMs. Preferred Qualifications: • Experience building deep learning models using PyTorch or TensorFlow., • Real-world experience with fine-tuning foundation models., • Experience with MLOps practices and tools, including MLflow or similar., • Understanding and practical experience with StructRAG., • Experience with open-source and commercial video processing and computer vision tools (e.g., OpenCV, PySceneDetect, or Detectron2). What’s in it for you? • Opportunity to build cutting-edge AI systems powering media intelligence and streaming innovations., • Collaborate with forward-thinking teams solving high-impact, real-world challenges., • Join a high-performance engineering environment where your work directly supports strategic initiatives., • Advance your skills in AI, MLOps, and large-scale deployment systems

Job Description The Department of Genetics and the Institute for Aging Research at Albert Einstein College of Medicine invite applications for postdoctoral fellows to join a highly collaborative, multidisciplinary research program focused on the biology of healthy aging. The overarching goal of the group is to uncover biological mechanisms that promote longevity and resilience to age-related diseases, using both model organisms and deeply phenotyped human cohorts enriched for exceptional longevity. Einstein is internationally recognized for leadership in aging research and hosts major centers. These programs provide an outstanding intellectual and technical environment for postdoctoral training in aging biology and multi-omics research. Fellows will have access to extensive genomic, proteomic, metabolomic, and clinical datasets, as well as unique biospecimens from Einstein’s long-standing familial longevity studies. The research group is supported by multiple NIH-funded projects, including studies of comparative genomics of longevity and investigations into mechanisms of resilience to Alzheimer’s disease. The team is led by Drs. Zhengdong Zhang, Nir Barzilai, and Jan Vijg, and offers a rich collaborative environment that integrates computational, experimental, and clinical expertise. We seek highly motivated and creative postdoctoral fellows who can work independently while engaging in close collaboration across disciplines. The group has a strong track record of mentoring postdoctoral fellows toward independent careers, including successful applications for career development awards. The position offers opportunities for career development and to join a vibrant research community at the forefront of aging and longevity research. Additional information about the Department of Genetics is available at Information about the Institute for Aging Research can be found at Qualifications Applicants should hold a Ph.D. or equivalent degree in computational biology, statistical genetics, epidemiology, bioinformatics, or a closely related discipline. Strong programming skills in R, Python, MATLAB, or similar languages are required, along with a solid foundation in computational or statistical genetics. Experience analyzing large-scale datasets is essential, as the work will involve complex genomic and multi-omics data. Familiarity with machine learning methods and modern data science approaches is highly desirable. Successful candidates will demonstrate strong quantitative skills, the ability to work with complex biological data, and a clear interest in applying computational approaches to fundamental questions in aging biology and human health. Salary and benefits $65,000 or more depending on experience, with a comprehensive package of institutional benefits. Start date As soon as possible. How to apply Please send a CV and cover letter to Dr. Zhengdong Zhang at . The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

About US At Biz2Credit, we look for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we are here to make that happen. That is why we are dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we are more than just another FinTech company. We are a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that is why we value a culture that is inclusive and supportive. We are looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. About the Role In this leadership role reporting directly to the Chief Risk Officer, you will oversee a team of high-performing Risk and Data Science Analysts, both onshore and offshore, to develop and implement credit risk models and AI-driven underwriting and credit decision processes, optimize strategies related to risk management, pricing, and business growth, and shape and enhance lending products and processes to ensure they are grounded in robust risk management principles, driving both innovation and stability. Responsibilities Credit Decisioning Model Development For both existing products and new lending products on the roadmap, • Develop and implement advanced credit risk models (rule-based, heuristic, and machine learning) to support underwriting and portfolio management., • Automation of Customer Journey, Underwriting, and Credit Risk Framework. For both existing products and new lending products on the roadmap, • Contribute to in-house research by publishing articles and whitepapers on topics related to small business, AI, and macroeconomics. Requirements • 10+ years of experience in banking or Fintech, in advanced analytical and data science skills to drive decision making and risk strategy optimization for either consumer or small business., • 5+ years of experience in Risk First Line of Defense, in acquisition and underwriting risk strategy, and limit (or line) management., • 5+ years of experience in managing a high-performing risk management team., • Hands-on expertise in developing and implementing machine learning-based statistical models, such as Logistics Regression, XGBoost, Decision Trees, or other ensemble techniques., • Proven track record in risk management within the fintech or financial services industry., • Strong understanding of fintech products, lending solutions, Embedded finance and industry regulations., • Exceptional analytical and problem-solving skills with the ability to evaluate complex scenarios and drive data-driven decisions., • Exposure to LLM/Generative AI/Agentic AI is preferred, • Exposure to lending to small-business is preferred

About Us: Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client’s business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence (“AI”) and machine learning (“ML”), we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 60,000+ strong, with more than 50 offices spanning six continents. Management Consultant: Data, Analytics & AI Consulting (Insurance) Overview: We are seeking a Senior Management Consultant to serve as a strategic client leader for a major Fortune 500 insurance client. This individual will bring deep experience in executive‑level partnership, digital transformation consulting, and Gen AI advisory. This role is a strategic partnership and client success leadership role, focused on executive engagement, value realization, visibility across large programs, and long‑term account and revenue growth. This person will act as a focal point for orchestration and visibility, responsible for: • Communicating progress, outcomes, and value delivered by multiple EXL teams to client executives who do not have direct day‑to‑day visibility into all initiatives, • Synthesizing delivery inputs into concise, executive‑ready narratives focused on outcomes, impact, and strategic alignment, • Championing EXL’s differentiated value, including both tangible results and intangible contributions such as thought leadership, innovation, and partnership maturity Responsibilities: Advisory: • Conduct stakeholder interviews and perform high level data and business process analysis., • Research Gen AI tools and market trends., • Create roadmaps for strategic solutions., • Present proposals in conjunction with the sales team to senior client leadership. Executive Partnership & Stakeholder Management • Build and maintain trusted relationships with senior client executives across technology, data, and business leadership., • Act as the primary conduit between client leadership and EXL delivery leadership. Program & Portfolio Oversight • Maintain a high‑level view of multiple concurrent engagements across business units and delivery teams., • Partner with Delivery Leaders to understand execution health, risks, milestones, and outcomes without directly managing day‑to‑day delivery., • Provide leadership oversight and escalation management when required. Value Storytelling & Client Success • Clearly articulate the outcomes, progress, and impact of EXL initiatives to executive audiences., • Translate complex delivery activity into compelling, business‑focused narratives that reinforce EXL’s value as a strategic partner., • Champion data‑driven outcomes, innovation, and GenAI‑enabled capabilities delivered through platforms such as Palantir. Business Development & Account Growth • Contribute to proposal development and solution shaping for large, complex engagements, with demonstrated experience contributing to multi-million-dollar engagements, • Partner with internal leadership to drive sustained account and revenue growth. Qualifications: • 7+ years operating as a Senior Program Manager or Management Consultant in the IT Services space., • Extensive Insurance or Healthcare domain experience., • Proven experience building and sustaining executive‑level relationships within Fortune 500 organizations., • Demonstrated contribution to proposals and recommendations, • Experience advising on digital transformation, data, analytics, AI, or IT modernization initiatives., • Prior experience supporting or advising clients in the Property & Casualty (P&C) insurance industry or healthcare is required Skills & Attributes • Exceptional executive presence, presentation, and communication skills., • Ability to synthesize complex delivery information into clear, outcome‑focused messaging., • High energy, client‑centric mindset with a passion for driving excellent outcomes., • Strong storytelling skills that create excitement and confidence in recommended solutions.

Backend Engineer (AI Focus) – New York My client is a well funded early stage startup building a high scale social platform from the ground up. They are focused on building persistent, high performance systems capable of supporting massive real time traffic. Engineers joining my client will have the opportunity to work on a greenfield platform at scale, join a focused and highly capable team, and take ownership of critical backend systems from day one. The environment is fast paced and highly collaborative, with a strong emphasis on building systems that enable AI-driven product experiences, supported by long term financial stability. The Role My client is looking for a Backend Engineer with strong experience in distributed systems and an interest in AI-powered products. You will play a key role in designing and building the core infrastructure that powers real-time, intelligent user experiences at scale. Key Responsibilities • Design, build, and deploy backend services using TypeScript and NestJS with a focus on performance, scalability, and maintainability, • Architect and implement high traffic APIs, authentication systems, and distributed services enabling real-time and AI-enhanced product features, • Model and optimize data systems across relational databases, caches, and event streaming platforms to support both operational workloads and AI-driven insights, • Build resilient, event-driven systems using pub sub patterns and long-lived connections that handle large scale concurrent usage, • Work closely with AWS infrastructure to improve deployment pipelines, scalability, and overall system reliability, • Support backend systems that enable AI and machine learning workflows, including data pipelines and real-time inference services, • Collaborate with a small, high-performing engineering team to make strong technical decisions and execute quickly with high ownership Technical Requirements • Strong expertise in TypeScript, Node.js, and NestJS, with the ability to design and build production grade backend systems, • Proven experience implementing secure authentication systems using OAuth, FIDO2 or WebAuthn, and JWT, • Hands on experience working with Prisma ORM, PostgreSQL or Aurora, Redis, and DynamoDB across high-scale environments, • Experience with analytics or high performance data stores such as ClickHouse is beneficial but not required, • Strong understanding of distributed systems, including event driven architecture, pub sub patterns, and message brokers such as Kafka or AWS MSK, • Experience building real time systems, • Deep familiarity with AWS and cloud infrastructure, including services such as Aurora Global Database, RDS Proxy, ElastiCache or Valkey, EKS, and Terraform, • Experience working with observability tooling such as LGTM stack and implementing modern CI/ CD pipelines, • Proven track record of building external facing systems where performance, concurrency, and reliability are critical

Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Data Scientist (Credit & ML Systems) New York City (In-Office) | Full-Time | $180k–$250k Base + Bonus + Equity About the Company We’re partnered with a high-growth consumer platform using data and machine learning to expand access to credit and purchasing power across emerging markets. The company has already scaled to hundreds of millions in annualized transaction volume and tens of millions in revenue, while building a modern alternative to traditional lending products. Backed by top-tier investors, the team is lean, highly analytical, and deeply product-focused, with leadership experience from some of the world’s most recognizable technology companies. Data Science sits at the core of the business - underwriting quality, pricing accuracy, experimentation, and portfolio performance directly impact growth and profitability across the platform. The Role This is a high-impact Data Science role focused on building machine learning and optimization systems that power underwriting, personalization, pricing, and portfolio management decisions. You’ll work across the full lifecycle of modeling and experimentation — from causal inference and forecasting to production ML systems and observability. This role requires strong technical depth alongside the ability to communicate insights clearly across product, engineering, and business teams. What You’ll Be Doing • Develop machine learning and causality models used for underwriting and portfolio management decisions, • Build credit, personalization, ranking, and pricing algorithms, • Design and analyze experiments to guide product and algorithm decisions, • Lead machine learning infrastructure initiatives, including ML operations and observability, • Work with large-scale transactional and behavioral datasets to drive business performance, • Partner cross-functionally with engineering, product, and business stakeholders What They’re Looking For • 5+ years of Data Science experience, • Strong background in machine learning, forecasting, and statistical modeling, • Deep understanding of causal inference, experimentation, and measurement methodologies, • Experience formulating and solving optimization problems, • Advanced Python and SQL skills, • Strong communication skills with the ability to drive business impact through analysis Nice to Have • Experience in lending, credit, consumer finance, or marketplace environments, • Exposure to pricing or recommendation systems, • Experience working with ML infrastructure or production ML systems, • Background in fast-paced, high-growth technology companies Why This Role • Direct impact on underwriting, pricing, and portfolio performance at scale, • Opportunity to work on complex ML and optimization challenges tied directly to revenue and growth, • Lean, highly technical team with strong ownership and autonomy, • Competitive compensation, equity, and strong benefits package

SailPoint is the leading, AI-driven security platform providing the autonomous governance that best solves the needs of the modern enterprise. By harnessing the power of AI and machine learning, SailPoint automates and streamlines the complexity of delivering the right access to the right identities and technology resources at the right time. Delivered at the scale our enterprise customers demand. We are proud of our team and the culture we have built, which has led to our employees voting us “best places to work” – 15 years in a row. The role: SailPoint is seeking an Advisory Solution Consultant (pre-sales Solution Engineer) to support the US Northeast sales regions for Strategic accounts. You will partner with our sales teams by applying your technical abilities and business acumen in support of SailPoint’s growth objectives. Responsibilities: • Actively participate in the sales process and work closely with the direct and channel sales teams, • Discover and understand customer requirements and align our solutions to those requirements, • Present SailPoint business functions, value, and competitive differences, • Provide product demonstrations to prospective customers, • Assist in developing RFP responses in coordination with our RFP response team, • Participate in onsite and remote Proof of Value (POV) evaluations, • Provide feedback to Product Management on product enhancements Requirements: • 5+ years of professional experience as a pre-sales technical resource in an enterprise software company (B2B), • Excellent written and verbal communication skills, • A working knowledge of technical infrastructure, including web services, application servers, databases, virtualization, and directories is required, • Conversant in modern SaaS architecture and familiarity with IaaS platforms such as Azure/AWS/GCP, • Experience with APIs and API tools such as Postman, Agentic AI technology such as Amazon Bedrock AgentCore, Google Vertex, Azure Foundry, Salesforce Agentforce, etc., LLMs, MCP, RAG, Java, XML, LDAP, SQL, and JSON is desirable, • 3+ years working with Identity, Governance, and Access Management solutions is preferred Path to Success: Within the first 4 months, you will: • Learn the Identity Security and Identity Management space, • Participate in demo best practices training, presentation skills training, negotiation,, • Handle initial demos and discussions in IGA, • Attend Revenue Onboarding for a deep dive into Challenger Sales training, • Hone technical discovery skills through SE Scrum groups, • Pitch to Account Executives (AEs) to master messaging and build relationships, • Navigate internal relationships with Customer Success Managers, Product Management, Professional Services, and Partners, • Coordinate with AEs before and after client calls, tying what is presented back to business value Within 6 months to 1 year, you will: • Contribute to building new technical collateral for organization-wide use, • Grow familiarity with IT audit functions, regulatory frameworks, SOX, HIPAA, NERC-CIP, GDPR, and CCPA, • Speak at national or regional conferences and meetups, • Proactively network and build your own personal brand, • Articulate the business value of SailPoint as a strategic sale, • Communicate at the business level with clients outside of IT, such as HR, Finance, risk management, counsel, and lines of business, • Be fluent in the language of Identity Security Location: • Residence in any Northeast state is required., • We anticipate 25% travel and flexibility to travel within the US (primarily in the Northeast states) will be necessary. Education: • BA/BS or global equivalent, • 8 years of related experience Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint. As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD): $116,900 - $197,083.60 Base salaries for employees based in other locations are competitive for the employee’s home location. Benefits Overview 1. Health and wellness coverage: Medical, dental, and vision insurance, 2. Disability coverage: Short-term and long-term disability, 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D), 4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children, 5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account, 6. Financial security: 401(k) Savings and Investment Plan with company matching, 7. Time off benefits: Flexible vacation policy, 8. Holidays: 8 paid holidays annually, 9. Sick leave, 10. Parental support: Paid parental leave, 11. Employee Assistance Program (EAP) and Care Counselors, 12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options, 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.

Senior Associate / Manager, Quantitative Analytics NYC/Chicago, IL Full time $150,000 – $170,000 + Bonus + Stocks About the Opportunity We’re partnering with a leading clean energy platform at the forefront of solar and energy storage. This is a chance to join a high-impact, mission-driven team working on some of the most commercially sophisticated challenges in renewable energy today. The business operates across utility-scale and distributed assets, combining strong financial backing with a highly analytical, trading-oriented approach to portfolio management and optimization. The Role This is a senior individual contributor position within the Quantitative Analytics team, sitting at the heart of commercial and revenue strategy. You’ll play a key role in developing and deploying quantitative models that directly influence trading decisions, asset optimization, and commercial structuring. Alongside hands-on technical work, you’ll help mentor junior team members and shape how the team approaches complex analytical problems. It’s a strong fit for someone who enjoys building models end-to-end but is also ready to step into a more influential, leadership-oriented position. What You’ll Be Doing • Build and own models that drive trading strategy and portfolio optimization across solar and battery storage assets, • Develop pricing and risk tools for structured energy products and offtake agreements, • Analyze market dynamics (congestion, basis, curtailment, intermittency) to uncover commercial opportunities, • Integrate data from across power markets, including weather, generation, and transmission, • Support battery storage optimization, including forecasting and day-ahead dispatch strategies, • Review and structure commercial agreements, identifying risks and opportunities, • Apply machine learning and optimization techniques to improve forecasting and performance, • Mentor junior team members and contribute to a high-performance, collaborative culture, • Partner closely with commercial, development, finance, and asset management teams What We’re Looking For • 5–8 years’ experience in power markets, trading, or quantitative analytics within energy, • Strong Python and SQL skills, with experience working in collaborative codebases, • Solid understanding of power market dynamics and pricing, • Experience with structured products, derivatives, or energy contracts, • Exposure to machine learning or optimization in a commercial setting, • Ability to translate complex analysis into clear, actionable insights, • A proactive mindset with the ability to operate independently, • Interest in mentoring and helping develop junior talent, • Background in renewable energy (solar, storage) is a strong plus Why This Role? • Direct impact on trading strategy and revenue generation, • Exposure to both renewables and battery storage optimization, • Clear pathway into technical leadership, • Highly collaborative, commercially driven environment, • Opportunity to work on cutting-edge problems in the energy transition Compensation Competitive base salary ($150,000 – $170,000) plus bonus and comprehensive benefits

Senior Principal – Workforce Transformation Infosys Consulting Workforce Transformation practice is seeking experienced and visionary Organizational Change and Learning Senior Principal Consultants to lead our efforts addressing evolving challenges and opportunities in business segments, including responsibilities for sales and practice development. About the Role As a Senior Principal, you will anchor proposal preparation and engagement delivery efforts for organization change, learning and human capital tracks on major transformation programs. You will lead the development of solutions, be accountable for delivery, and guide teams on project processes and outcomes. You will collaborate and interface with senior clients daily to build confidence and guide the team in aligning deliverables to business needs while mitigating business risks. Key Roles and Responsibilities: • Develop and articulate a strategic vision for addressing key industry risks, including the impact of evolving technological innovations and artificial intelligence, • Provide thought leadership on industry trends, challenges, and opportunities, • Lead the development and deployment of organization change digital solutions across the value chain, • Implement cloud-based platforms including S4HANA for scalable and flexible enterprise solutions, enhancing collaboration and data accessibility, • Ensure robust cybersecurity measures to protect enterprise data and infrastructure from cyber threats., • Utilize advanced analytics and AI to understand customer behavior and preferences, offering personalized services and proactive communication, • Mentor and develop team members, providing opportunities for professional growth and advancement, • Identify and pursue new business opportunities within your designated industry sector, • Extensive knowledge of a specific industry value chain including a deep understanding of emerging trends, technological innovations, and industry risks, • Proven successful business development, • Demonstrated ability to lead large-scale digital transformation projects, • Proficiency in digital solutions such as S4, Oracle Cloud, SNow, MDM, etc., • Familiarity with enterprise integration, cloud solutions, AI, machine learning, and cybersecurity, • 9+ years of end-to-end of HCM/Payroll/Time and Change experience for ERP-enabled transformation programs., • At least 3 full-life-cycle technology implementations in key of HCM/Payroll/Time and/or Change roles., • At least 1 full-life-cycle technology implementation in lead of HCM/Payroll/Time and/or Change tracks role., • Track record of consulting sales and business development, including delivering on quantitative financial targets., • Track record of consulting practice building and offerings/IP development; demonstrated thought leadership, • Strong oral, written communications skills, presentation skills and interpersonal skills, • Comfort with change and ambiguity; ability to flex approach to changing external stimuli., • Ability to travel 80% plus. Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:- • Medical/Dental/Vision/Life Insurance, • Long-term/Short-term Disability, • Health and Dependent Care Reimbursement Accounts, • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal), • 401(k) plan and contributions dependent on salary level, • Paid holidays plus Paid Time Off About Us Infosys Consulting is the global management and technology consulting practice of Infosys, a global leader in technology services and consulting. We combine the power of time-tested methodologies, people-driven innovation and disruptive technology to enable leaders of the world’s top brands pursue a path of smart transformation. Together with our clients, internal and external partners, we co-create and execute pragmatic strategies and solutions that transform organizations and define the future of business. Our dynamically growing consultancy offers our consultants: • Ability to design and implement end-to-end solutions at scale, • A flat organization structure with direct access to our senior-most leaders, • An entrepreneurial environment full of bright, highly motivated consultants, • Opportunities for motivated consultants to impact local communities, • The ability to design your career and drive your professional learning and development, • A truly global culture EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.