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Model Validation Analyst – Corporate & Investment Banking Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Sr. Analyst, Model Risk will be responsible for performing independent validation of models and expert judgement models used by the bank in conformance with regulatory guidance on model risk SR11-07. This individual’s responsibility includes performing model validations, from input data, model methodology, model outcome, usage and related controls and governance around model risk. This role involves internal communication with business and model development and external with vendors and third-party servicers. Furthermore, this individual is expected to take the day-to-day model risk governance responsibilities such as ongoing performance monitoring, orderly remediation of findings, and model annual reviews. * Evaluates model assumptions and weaknesses, prepares reports describing the results of the validation analyses and list the recommendations for addressing any issues identified. * Conducts robust validations of a wide variety of models against established standards, developing benchmark, challenger, and replication models where applicable. * Advises senior personnel in their communications with risk committees, auditors, regulators, and senior management regarding model risk and its potential effects on the risk profile of the bank. * Manages the resolution of findings with model owners and developers. * Reviews ongoing model performance, assesses overall model health within a given framework, identifies potential problems and works with stakeholders to resolve issues identified. * Partners with model owners and developers to understand the business context for model use, producing technical guidance and adding value to the business process. * Develops and executes initiatives such as researching new trends in modeling and approaches to the management of associated model risk. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Bachelor's Degree in Statistics, Mathematics, Economics or equivalent quantitative discipline or equivalent work experience. - Required. * An advanced degree, masters/PhD in a quantitative discipline such as Financial Engineering, Mathematics, Physics, Quantitative Finance, Economics, Statistics, or other relevant field of study. - Preferred. * 3+ years of experience in Model Validation and/or Model Risk Management function at a large corporate and investment bank. * Detailed familiarity with advanced quantitative analysis and applied statistical techniques in relevant asset/liability categories, including regression, time series forecasting, econometric modelling, PCA analysis, data mining, survival analysis, sensitivity, back-testing, model performance measurement * Familiarity with QRM, ADCo and Intex or similar systems. - Preferred. * Sound knowledge of financial numerical methods/PDEs, stochastic calculus, and option pricing * Programming capabilities: Hands on programming skills required in common programming languages and packages like R, Python, Matlab, and SAS etc. * Ability to apply mathematical and statistical skill in a highly practical way to solve problems * Ability to work with senior management and other stakeholders * Outstanding time and stress management skills, team-work spirit. As a responsible level the team member should be a self-starter and need minimal direction from managers in pursuing projects. Certifications: * No Certifications listed for this job. It Would Be Nice For You To Have: * Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. * Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Minimum: $67,500.00 USD Maximum: $140,000.00 USD Link to Santander Benefits: Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at ___ to discuss your needs. Primary Location: New York, NY, New York Other Locations: New York-New York Organization: Santander Holdings USA, Inc.

Associate, Credit Risk, Liberty Street, New York, NY Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! Job Description The Difference You Make: We are seeking a motivated and analytical Associate to support the implementation of credit strategies and models within decision engine platform for Santander US Unsecured lending portfolio. In this role, you will work closely with credit risk, data science, and technology teams to operationalize and maintain decision logic that drives automated approvals, credit policies, models and customer lifecycle decisions. This is a critical role to ensure strategic decisions are accurately translated into system logic for real-time execution. Strategy Implementation * Translate business and risk strategies into decision engine logic using defined rules, conditions, and configurations. * Collaborate with credit policy, analytics, model development and product teams to understand strategic intent and ensure accurate deployment in decision systems. * Support testing, validation, and monitoring of decision strategies prior to and post-production implementation. * Maintain documentation of decision logic, rule flows, change history, and approval workflows. Testing & Validation * Design and execute test plans to ensure decision rules perform as intended. * Partner with QA, technology, and analytics teams to validate outputs and ensure alignment with risk frameworks. * Identify and troubleshoot issues in rules logic or system behavior and recommend corrective actions. * Conduct thorough testing of the consumer lending processing system, including ___, ___, and ___. * Identify and document ___ and issues encountered during testing. * Participate in ___ and ___. Performance Monitoring * Support tracking of decision engine performance, including KPIs like approval rates, automation rates, and error rates. * Work with analytics and reporting teams to assess the impact of strategy changes and recommend refinements. * Ensure decision logic aligns with regulatory guidelines and internal governance policies. Cross-functional Collaboration * Coordinate with internal stakeholders across risk, product, technology, operations, and compliance. * Participate in regular strategy reviews and platform enhancement discussions. * Assist with audits and governance reviews by preparing documentation and providing data or system insights. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Bachelor's Degree in Business, Finance, Computer Science, Engineering, or related field. - Required. * Master's Degree in Business, Finance, Computer Science, Engineering, or related field . - Preferred. * 5+ Years Risk Management, Credit Risk, or Internal Audit - Required. * 5+ Years Financial Services industry experience. - Required. * 1+ Years Experience in ___ or ___ roles. - Required * Experience with decision engines such as FICO , Experian PowerCurve, or Provenir. * Basic understanding of consumer credit risk, models, lending policies, and/or financial products. * Experience working in a financial institution or fintech environment. * Strong analytical and problem-solving skills with attention to detail. * Proficiency in Excel; familiarity with SQL, Python, or other analytics tools is a plus. * Excellent written and verbal communication skills. Preferred Skills: * Exposure to agile delivery environments and product/strategy deployment cycles. * Understanding of model-driven decisioning and A/B testing frameworks. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Minimum: $76,875.00 USD Maximum: $130,000.00 USD Link to Santander Benefits: Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at ___ to discuss your needs. Primary Location: New York, NY, New York Other Locations: New York-New York Organization: Santander Bank N.A.

The Senior Manager of Data Science & Analytics supporting hematology is responsible for developing data-driven insights to inform commercial strategy, brand planning, and operational effectiveness. This role requires hands-on data analysis and close collaboration with cross-functional teams to ensure data is leveraged to support business-critical decisions for Adcetris and Elrexfio. The Senior Manager will manage various data assets, including claims, sales, and specialty pharmacy data, and will work across oncology commercial analytics and commercial teams to integrate insights into the franchise’s strategic direction. This position will report to the Senior Director of Data Science & Analytics within Pfizer’s Oncology Commercial Analytics team. Key Responsibilities: Data Analysis and Insights Generation • Advanced Analytics: Develop and implement advanced analytics models, using techniques such as machine learning, predictive modeling, and statistical analytics, to drive insights into customer behavior, market trends, and product performance., • Secondary Data Analysis: Leverage multiple external data sources (e.g., claims data, specialty pharmacy data, non-retail sales) to generate actionable insights that address strategic business questions. Data Management and Governance • Data Asset Management: Partner with Commercial Information Management and data governance teams to ensure the proper stewardship of data, including the integration of new data assets to enhance decision-making., • Data Quality and Consistency: Ensure the quality, accuracy, and timeliness of data used for analysis by collaborating with IT, Marketing, and other cross-functional teams to maintain clean and reliable datasets., • Data Sourcing: Collaborate with the Director of Oncology Data Enablement to identify and assess relevant commercial data sources (e.g., Komodo Health, IQVIA, Symphony) that can be integrated into analytics projects to improve insights and decision-making capabilities. Targeting and Segmentation • Customer Segmentation: Apply advanced data science techniques to develop customer segmentation strategies that optimize targeting and resource allocation for marketing and sales teams., • Engagement Optimization: Analyze customer behavior and market data to develop insights that enhance engagement strategies and drive commercial success. Brand Performance and Market Insights • National-Level Reporting: Develop and maintain national-level brand performance reports, providing detailed insights into market trends, competitive dynamics, and product performance., • Launch Support: Provide analytical support during product launches, including competitive intelligence, market analysis, and performance tracking to ensure successful market entry., • Operational and Market Effectiveness: Analyze data to inform operational effectiveness and market performance, providing insights that optimize marketing strategies and sales operations., • Reporting and Dashboards: Create and manage executive-level reports and dashboards, ensuring that key performance indicators (KPIs), market trends, and insights are effectively communicated to decision-makers. Cross-Functional Collaboration & Stakeholder Engagement • Cross-Functional Partnership: Work closely with other teams (e.g., Marketing, Market Research Insights, Forecasting, Finance) to integrate data insights into broader strategic initiatives and support decision-making., • Stakeholder Communication: Present complex analytical insights to senior leadership, translating data into clear and actionable recommendations that support business-critical decisions. Innovation and Continuous Improvement • Process Improvement: Continuously identify opportunities to improve data analytics methodologies, processes, and tools to enhance the efficiency and accuracy of insights., • Emerging Trends: Stay current with industry trends and emerging data science techniques, incorporating innovative approaches into data analysis to drive better business outcomes. Vendor and Resource Management • Vendor Collaboration: Manage relationships with external vendors and data providers, ensuring timely delivery of high-quality data and insights that meet the franchise’s needs., • Budget and Resource Allocation: Collaborate with Data Science & Analytics leadership to manage budgets and allocate resources effectively to support franchise data science and analytics efforts. Basic Qualifications: • Education: Bachelor’s degree in data science, analytics, mathematics, biological or physical sciences, statistics, business, or a related field., • Experience: Minimum of 6+ years of experience in data science, analytics, or commercial operations, with at least 5+ years in the pharmaceutical or biopharmaceutical industry. Post-graduate education can substitute for a portion of the work experience requirement., • Technical Skills: Proficiency in data analysis tools such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI)., • Cross-Functional Experience: Experience working with cross-functional teams, including marketing, sales, and IT, to integrate data insights into commercial strategies. Preferred Qualifications: • Oncology Expertise: Experience working in oncology, with a deep understanding of market dynamics, customer behavior, and competitive trends in the oncology space., • Technical Skills: Experience with machine learning and predictive modeling techniques is highly desirable., • Advanced Degree: MBA or advanced degree in a related field is preferred. Skills and Competencies: • Analytical Mindset: Strong analytical and problem-solving skills, with the ability to develop data-driven solutions to complex business challenges., • Strategic Thinking: Ability to think critically and strategically, translating complex data into actionable forecasts that drive business decisions., • Communication: Excellent verbal and written communication skills, with the ability to present complex data insights to commercial leaders and cross-functional teams in a clear and actionable manner, • Project Management: Proven ability to manage multiple projects simultaneously, prioritize competing demands, and meet deadlines in a fast-paced environment. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Work Location Assignment: Hybrid Other Job Details: Last day to apply: November 21, 2025 The annual base salary for this position ranges from $120,800.00 to $201,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make ___ accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email ___. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Marketing and Market Research

Grow your career an innovative global bank in Jersey City, NJ as a Big Data Developer with strong Java, Hadoop, Scala, Spark expeirence. Contract role with strong possibility of extension. Will require working a hybrid schedule 2-3 days onsite per week. \nJoin one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you. \nContract Duration: 12+ Months Required Skills & Experience • 10+ years hands-on IT experience, • 5+ years of strong Big Data development experience along with troubleshooting skills with technologies like Spark, Java/Scala and Hive., • Must have hands-on development execution experience in building Java/Scala, Spark, Kafka, Hadoop, and Spring Boot based applications., • Experience with Spark and Hadoop ecosystem (HDFS, Yarn, Zookeeper)., • Basic SQL queries and optimization in Hive, Impala., • Proficiency in Python and MongoDB, • Basic Data warehousing concepts like SCD2, • Experience with Kafka, Elastic, • Domain knowledge in financial services\n\nWhat You Will Be Doing, • Hands-on coding Big Data development including building Java/Scala, Spark based applications., • Will troubleshoot technologies like Spark, Java/Scala and Hive., • Will use SQL queries on Hive/Impala as part of big data development., • Perform coding, technical review and resolve technical challenges., • Responsible for overall deliverables and highlight any risk., • Work under pressure and manage deadlines or unexpected changes in expectations or requirements

This is an opportunity to join a fast-paced infrastructure team supporting secure, large-scale deployments of generative AI products for premier financial institutions. This is a full-time, onsite role based in New York City, working with AWS, Kubernetes, Terraform, and modern security and observability tooling to help deliver cutting-edge AI systems in highly regulated environments. You’ll work cross-functionally with internal engineering and AI teams, guiding security best practices, implementing compliance controls, and ensuring the integrity of AI-powered financial platforms. As a Cloud Security Engineer, you’ll be responsible for designing and enforcing secure-by-default architectures, embedding automated guardrails, and strengthening the overall security posture of production systems. You’ll lead initiatives to protect sensitive financial data, establish compliance frameworks (SOC 2, ISO 27001), and implement zero trust principles across environments. Required Skills & Experience Daily Responsibilities \n• 60% Designing and Hardening Secure Infrastructure \n• 40% Security Auditing, Incident Response, and Team Collaboration The Offer Bonus Eligible You Will Receive the Following Benefits \n• Medical, Dental, and Vision Insurance \n• Vacation Time \n• Stock Options Applicants must be currently authorized to work in the US on a full-time basis now and in the future. #LI-JF6

Senior Full Stack Engineer- Python/React \nLocation: New York, New York- (On-site 4 days/week) \nHours: Full Time-Perm \nCompensation: $170-200K + Bonus\n This full time Full Stack engineering role is coming from a company that is building an AI powered due diligence platform that is used by private equity firms to help speed up the acquisition process and research. Based in New York City, you will be working with Python and React to build the features for a fast-growing product supported by strong leadership. They are taking on one of private equity’s major obstacles; everything you will be building will have direct impact to high value deals. They are looking for a senior Full-Stack engineer who can work 50/50 from backend to frontend and be flexible to 60/40. This role comes with high ownership, hands on building and learning, and the opportunity to shape a quickly scaling AI platform. Required Skills & Experience • Python \nReact \nFull-Stack engineering experience \nAbility to work on-site 4 days per week \n \n \nDesired Skills & Experience \n5+ Years of experience \nAI/ Data platform background \nWorked or been exposed to work within Fintech or Private Equity

Cloud Security Engineer \n \nAs a Cloud Security Engineer, you’ll play a pivotal role in shaping the company’s security posture as it scales into the enterprise financial sector. Working alongside the infrastructure team, you’ll architect and implement robust cloud security systems that safeguard our AI platform and the sensitive financial data it processes—empowering our engineers to innovate quickly while maintaining the highest standards of security and compliance. \n \nThe company is located in New York, NY and will be 4 days onsite a week. \n \nWhat You Will Be Doing:\n • Design and implement cloud security architecture that enables secure-by-default patterns across all engineering initiatives., • Develop and maintain AWS security controls, including IAM policies, network segmentation, encryption, and centralized logging., • Build infrastructure-as-code (CDK, SST, Pulumi) with embedded security guardrails to streamline secure development., • Implement robust secrets management, encryption, and authentication frameworks to safeguard sensitive financial data.\n, • Lead compliance programs across CCPA, GDPR, and ISO 27001, complementing the existing SOC 2 Type II certification., • Automate evidence collection and continuous compliance using infrastructure-as-code and monitoring pipelines., • Conduct cloud security audits and remediate gaps against CIS Benchmarks and internal policy standards., • Collaborate with sales and customer success teams to meet enterprise security requirements and complete due diligence questionnaires.\n, • Participate in the security on-call rotation and lead incident response activities.\n, • Partner with engineering teams to embed security into SDLC workflows and CI/CD pipelines., • Implement software supply chain protections, including artifact signing, secret scanning, and dependency validation., • Design and enforce security controls for AI/ML infrastructure and data pipelines handling financial information., • Apply Zero Trust principles across cloud and internal systems.\n, • Mentor engineers on secure software design and architectural best practices.\n\nRequired Skills & Experience:, • 5+ years in cloud or infrastructure security engineering., • Deep hands-on experience with AWS security, including IAM, VPC architecture, encryption, and security services., • Strong expertise with infrastructure-as-code (AWS CDK preferred)., • Proficiency in scripting and automation (Python, Go, Bash, or similar)., • Understanding of attacker TTPs and modern cloud threat landscapes.

VDC Engineer US-NY-New York Job ID: 2025-3209 Type: As Needed of Openings: 1 Category: Information Technology The LiRo Group Overview We have an immediate need for a VDC Engineer for our New York City Office in lower Manhattan. LiRo-Hill Virtual Design & Construction Operations (VDCO) is a multidisciplinary practice seamlessly integrating technology and innovation for the built environment. Our team has a long history of delivering complex, ambitious projects utilizing the latest technology. The team consists of full-time staff with backgrounds and focuses ranging from Architecture, Engineering, Construction Management and Operations. We implement BIM, Reality Capture, 3D coordination, Project Controls, Data Analytics, BIM Implementation Consulting, and much more. Come join our team! We are looking to build services and capabilities through the growth of our key asset - our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to be a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Metro Park, NJ. Responsibilities • Assist in Scan-to-BIM workflows including LiDAR scanning and point cloud processing., • Produce highly detailed 3D models using Revit, consistent with AEC industry guidelines, and LiRo standards and practices., • Create design and construction documentation including axonometric 3D views, sections and elevations., • Create 4D models using resource loaded P6 schedules and Fuzor/Synchro., • Create renderings and simulations on an as-needed basis for marketing or project use, • Use tools such as Navisworks and ACC to support project collaboration and coordination across multiple disciplines., • Interface with Construction/Design teams to coordinate BIM content and approaches, model exchanges, quality control, and delivery., • Visualize and create reports on an ongoing basis., • Troubleshoot BIM software and platform issues and stay current with emerging tools and technologies. Qualifications Required Qualifications: • Bachelor’s degree or higher in Architecture, Engineering, Civil Engineering, Construction Management, or an AEC-related discipline., • Min. 3 years of hands-on experience working as a BIM/VDC Professional., • Excellent verbal and written communication/presentation skills, with the ability to express ideas clearly and professionally to both technical and non-technical audiences., • Ability to read, understand, and interpret contract drawings, specifications, scopes of work, and project schedules., • Proficiency in Autodesk products such as Revit, AutoCAD, Civil 3D, Navisworks, and ACC Model Coordination., • Strong Revit Modeling experience., • Experience working with Public Sector clients / projects is highly preferred., • Experience with software development using Revit APIs, Python, and Dynamo is a plus., • Familiarity with Bentley software, ArcGIS, AutoCAD, Primavera P6, or IBM Maximo is advantageous., • Valid Driver's License, ability to drive to job sites., • This position requires often driving to, working from client/field offices in and around NYC areas., • The candidate must be authorized to work in the USA., • Visa Sponsorship is not available. Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. -We offer a comprehensive benefits package and a positive work environment -Compensation: Minimum: $75,000: Maximum: $115,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidates’ qualifications and location. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22 #ZR22 PI550d0cad9766-37820-38829915

Join us as a VP - Global Markets AI / ML Modeller. At Barclays, our vision is clear—to redefine the future of banking and help craft innovative solutions. Within Global Markets, we are building an AI/ML capability from the ground up, adopting a start-up mindset that values collaboration, and a relentless focus on results. As part of this greenfield function, you will leverage your deep knowledge to design, develop, and deploy sophisticated machine learning models that enhance trading strategies and distribution channels. This role offers a unique and exciting opportunity to not only build production-grade models but also to shape the strategic direction of AI adoption across Markets. You will work closely with senior partners and cross-functional teams in a fast-paced, high-impact environment where your contributions directly influence business outcomes and help set new industry standards. If you thrive in dynamic settings and are passionate about pushing the boundaries of what AI can achieve in financial markets, this is the role for you. To be successful as a VP - Global Markets AI / ML Modeller, you should have: * Senior experience in Machine Learning, including deep learning frameworks such as PyTorch or TensorFlow * Experience building and deploying scalable ML models in production * Considerable programming skills in Python and experience with cloud platforms * Solid understanding of statistics, applied mathematics, and data engineering pipelines Some other highly valued skills may include: * Ability to mentor, support projects, and engage with senior stakeholders * Strategic thinker with the ability to ensure complexity and risk * Ample collaboration and communication skills * High curiosity and a passion for innovation You may be assessed on the key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is located in our New York, New York office. Minimum Salary: $150,000 Maximum Salary: $225,000 The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. \n Purpose of the role To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. Accountabilities • Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets., • Working closely with sales teams to identify clients' needs and develop customised solutions., • In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics., • Provide front office infrastructure support though ownership and maintenance of analytical libraries., • Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment. Vice President Expectations • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.., • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.., • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.., • OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.., • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment., • Manage and mitigate risks through assessment, in support of the control and governance agenda., • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does., • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies., • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions., • Adopt and include the outcomes of extensive research in problem solving processes., • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

I am hiring a Ph.D. student at Stevens Institute of Technology for January 2026 and Fall 2026, for either the Mechanical Engineering or Robotics doctoral programs. I direct the Robotic Systems for Health Lab. Our lab's mission is to develop soft robotic technologies for rehabilitation, therapeutic, and other medical applications. Our interdisciplinary team strives to push the envelope with what is possible in rehabilitation robotics, soft robotics, and physical Human-Robot Interaction (pHRI). We work on developing novel hybrid soft-hard robotic exosuits and orthotics that will revolutionize the care of the human body. Responsibilities I am looking for researchers with strong skills in design and manufacturing: CAD, FEM, mechanism design, soft robotic fabrication, and additive manufacturing. Secondary qualifications can include programming, mechatronics, and controls. Your role in my research group will be to help build new physical form factors, which other students will then work on to program and control. You can also get involved in the programming and control depending on your passions and interests. Qualifications Primary Qualifications: • M.S. in Mechanical Engineering (in exceptional cases I might consider just a Bachelors), • Extensive experience with CAD (SolidWorks or Fusion 360), • Extensive experience with 3D printing, additive manufacturing Secondary qualifications • Publication record, • Experience with FEM, • Experience with Robotics, • Experience in mechatronics, • Experience in pneumatics, • Proficiency in Python or C/C++, • Experience in controls To Apply: • I will not check applications in this portal., • Do not message me through linked in., • Please send all of the following materials in your first email; otherwise your application will not be considered:, • cover letter, • resume/CV, • academic transcripts for both bachelors and masters, • Indicate if your earliest start date (January 2026 or Fall 2026), • a pdf presentation with photos showcasing your qualifications as listed above. (for instance, screenshots of particularly impressive designs, real-world robotics builds, etc.) Please share this post with your network to help me find motivated and talented students.

We’re looking for a detail-oriented professional to join our client's Legal Technology team. In this role, you’ll help design, test, and implement tools that make litigation workflows more efficient, from document review and case management platforms to AI-driven analytics and data automation. What You’ll Do • Support case teams with technology solutions for document review, data processing, and case management., • Build and maintain automated workflows using low-/no-code tools and scripting., • Partner with internal teams to customize solutions and ensure seamless integration into legal processes., • Troubleshoot and resolve technical issues, manage file transfers, and handle structured/unstructured data., • Provide training, documentation, and guidance to users on best practices., • Contribute to eDiscovery processes, including data collection, processing, review, and production., • Experience with litigation support or eDiscovery platforms (e.g., Relativity, Nuix, LAW, etc.)., • Solid background in data handling, automation, or database administration., • Familiarity with scripting (Python, Java) and text/data manipulation techniques., • Understanding of analytics tools such as TAR, email threading, or concept analysis., • Strong problem-solving skills and the ability to explain technical ideas in plain language., • Excellent communication, organizational, and project management abilities., • Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or related field., • At least 5 years’ experience working with litigation data or database platforms.

PLEASE NOTE: WE ARE NOT ACCEPTING ANY 3RD PARTY SOLICITATIONS. ANY SUCH INQUIRIES WILL NOT BE CONSIDERED OR RECEIVE A RESPONSE. WE CAN ONLY WORK WITH DIRECT APPLICANTS WHO ARE AUTHORIZED TO WORK IN THE US WITHOUT SPONSORSHIP. THIS IS AN ON-SITE ROLE FOR LOCAL CANDIDATES ONLY. SOFT's client located in New York, NY is looking for a Product Analyst - IT for a long term contract assignment. Qualifications: • 2+ years relevant experience as a Product Analyst or similar experience within an agile team environment., • Ability to work independently to drive forward Product initiatives., • Must exhibit strong interpersonal skills and a collaborative style and can share technical ideas and approaches with others., • IT Cloud Infrastructure, software development process and technical software experience is preferred., • Certified Product Owner preferred., • Experience with Python is a plus., • Experience in using Jira is a plus., • Experience with GoldenSource product is a plus. Skills • Agile experience / BA or analyst, • Confident communicator who collaborates with stakeholders, drives outcomes, reports progress, and escalates issues as needed, • Technical-minded, • Flexible and adaptable to changing needs of the Product Experience in data governance, data analytics, workflow automation (business process management) preferred Responsibilities: Responsible for working directly with business stakeholders to shape demand and strategize on opportunities, oversee the ongoing development and delivery of technology products and platforms, and ensure the achievement of business outcomes and value. Manages the life cycle of the product. Establishes and maintains relationships with key business stakeholders. Facilitates and drives alignment among key stakeholders. What you will do • Work with business and IT partners to develop inspiring product visions, derived from business needs into product roadmaps that are in alignment with business and IT strategies., • Exhibits expertise across the Statistics products’ features and able to partner seamlessly across the squads (including those in support of Treasury)., • Interpret requirements, write user stories and work with technical teams, developers, business analysts, UX and internal constituents to determine the details., • Be the voice of the business customer, identifying gaps and opportunities for new capabilities, manages backlog, and prioritizing work within sprints., • Partner with Scrum master and technical teams to participate in agile ceremonies (sprint demos, retrospectives, sprint planning)., • Proactively lead and collaborate with the UAT coordinator on user acceptance testing, schedules meetings, tracks progress and ensure alignment with the squad for successful releases., • Works with technology teams to respond to changing priorities and delivery requirements across multiple products or product areas., • Exhibits expertise within products’ feature areas and coordinates with interdependent teams to provide product support., • Defines, monitors, and communicates product-specific operational KPIs once a product enters production; sets and manages targets by influencing technology support services and best practices., • Promotes agile behaviors within business areas to accelerate the transition to the new operating model., • Support overall activities and responsibilities of Product Management team

Job Summary: Supports GPA department functions and staff by performing actuarial analyses and calculations, preparing reports, participating in meetings, and participating in various actuarial projects. Essential Job Functions: • Support TMHD actuarial governance procedures for insurance liabilities. This could include assisting in the preparation of TM Group actuarial policies, reviewing governance-related submissions from individual group companies, and performing research on governance best practices and procedures., • Gather, prepare, and reconcile data for actuarial loss reserve reviews of individual group companies. Perform the first draft of the actuarial loss reserve reviews, including method selections, assumption selections, and final reserve estimate selections. These steps would be performed under the direction of one of the managers of the GPA department., • Assist in research to support the actuarial loss reserve process reviews performed on individual group companies by the GPA department, including recommending best practice improvements., • Support projects being performed by the International Actuarial Reserve Committee (IRAC) or those assigned to the GPA department. This could include TM Group reserve-related dashboard compilations, Reserving Modernization projects, and industry research and reporting., • Contribute to reviews of group-wide financial reporting for premium reserves and insurance liabilities for IFRS17 and ICS accounting standards., • Support projects undertaken by the GPA department actuarial modernization lead. Qualifications: • 2+ years’ prior property/casualty actuarial experience., • 3+ actuarial exams completed., • Understanding of statistical methods and actuarial tools and techniques., • Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving actuarial, operational or process problems., • Ability to understand solutions that resolve problems in the best interest of the business., • Analytical and reasoning skills with the capability to determine the root cause of actuarial problems., • Ability to process actuarial-related information with high levels of accuracy., • Bachelor's degree with a concentration in math, finance or economics preferred., • Ability to work effectively as part of a global team., • Proficient in one or more coding language(s), e.g., R and/or Python., • Demonstrates curiosity and a problem-solving mindset., • Future-focused with an interest in application of AI.

Key Responsibilities: • Infrastructure Design and Deployment:, • Design and deploy scalable and secure cloud infrastructure on AWS., • Configure and manage AWS services, including EC2, S3, RDS, Lambda, etc., • Build and maintain development, staging, and production environments., • System Administration and Maintenance:, • Monitor system performance and optimize cloud resources to minimize costs., • Implement and maintain logging, monitoring, and alerting solutions using tools like CloudWatch, Dynatrace, Splunk or Datadog., • Ensure high availability and disaster recovery solutions are in place., • Security and Compliance:, • Ensure compliance with organizational and industry standards., • Conduct regular security audits and penetration testing., • Collaboration and Support:, • Work closely with DevOps, developers, and Data engineer to support application deployment and troubleshooting., • Provide guidance and training to team members on AWS and cloud technologies., • Automation and Optimization:, • Develop infrastructure-as-code (IaC) templates using tools like Terraform or AWS CloudFormation., • Automate repetitive tasks to improve efficiency and reduce errors. Qualifications: • Education:, • Bachelor’s degree in Computer Science, Information Technology, or a related field. Experience: • 10+ years of experience as a cloud or infrastructure engineer., • At least 5+ years of recent Hands-on experience with AWS services and cloud architecture. Technical Skills: • Proficiency in scripting languages such as Python, Bash, or PowerShell., • Strong understanding of networking concepts, including VPCs, subnets, routing, and security groups., • Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or AWS CodePipeline. Soft Skills: • Strong analytical and troubleshooting skills., • Excellent communication and collaboration abilities., • Detail-oriented with the ability to manage multiple projects simultaneously. Preferred Qualifications: • AWS certifications, such as AWS Certified Solutions Architect or AWS Certified DevOps Engineer., • Experience with containerization tools like Docker and Kubernetes., • Knowledge of hybrid cloud environments and integration with on-premises systems

🔹 Job Details Job Title : GCP Data Engineer Job Location : Philadelphia, PA / Phoenix, AZ / New York City, NY Job Type : Contract Client : LTIMindtree 🔹 Role Overview Role Overview: Seeking a GCP Data Engineer with expertise in GCP services and data engineering tools for a media domain client. Skills Required: • GCP Storage, BigQuery, DataProc, Cloud Composer, DMS, • Apache Airflow, Dataflow, Pub/Sub, • Java, Python, Scala, • Terraform or Cloud Deployment Manager, • Docker, Kubernetes, • Jenkins, GitHub Actions, Cloud Build, • Design and deploy scalable systems on GCP, • Build data pipelines and workflows, • Implement DevOps CI/CD pipelines, • Ensure monitoring and security using GCP tools

Senior Machine Learning Engineer Location: New York City, NYC, San Diego, CA (onsite 2-3 days) We are unable to sponsor at this time. New opening for a Machine Learning Engineer to lead a growing team within digital, gaming and streaming media. The team is creative with machine learning, predictive modeling, and deep learning. You will report to the Director of Data Science and Machine Learning. Summary: • You will be part of a world-class ML/AI team, developing machine learning, Generative AI models, LLMs for product teams. Working cross-functionally to turn business challenges into AI-driven solutions., • Develop advanced AI/LLM data driven pipelines to fuel our analytics platform., • Build and scale our retrieval-augmented generation (RAG) system that delivers analytic insights and automation to our product teams., • Create and apply advanced machine learning and deep learning solutions to extract insights from diverse structured and unstructured data sources., • Analyze business use cases and identify areas where AI models may have predictive limitations or biases., • Design, train and optimize neural networks, within frameworks; TensorFlow and PyTorch. Experience: • Minimum of 3 years of professional experience in machine learning, deep learning and generative AI., • Hands-on experience with generative AI models, including tuning and prompt engineering for LLMs., • Expertise in applying machine learning models in a professional environment with large, complex datasets., • Expertise with Python, libraries pandas, scikit-learn, PyTorch and PySpark for big data analysis., • Familiarity with multimodal AI models combining text, image, and video data., • Leading or managing a team is a huge plus., • Track record of leadership, continual learning and passion for delivering excellence. Education: • Master’s in Mathematics, Computer Science, Statistics, Engineering or similar degree (PhD preferred but not required) Target Total Compensation: $300,000 - $425,000, including a fixed annual salary of $200,000 - $255,000, employee equity grant, and full employee benefits.

Location: New York, NY, Bala Cynwyd, PA Role Overview: We are seeking an accomplished Senior Credit Researcher to join our investment team and drive high-conviction, alpha-generating ideas in corporate credit markets. This role requires a hybrid skill set: deep fundamental credit expertise coupled with advanced quantitative and analytical capabilities. The successful candidate will combine rigorous company-level research with data-driven insights to uncover opportunities across the credit spectrum. Key Responsibilities: Alpha Generation • Conduct fundamental research across corporates and sectors, identifying relative value and mispricings., • Develop investment theses supported by both traditional analysis and quantitative validation., • Generate actionable recommendations across bonds, tranches, CDX. Research & Analysis • Build detailed financial and valuation models, including scenario-based stress testing and capital structure simulations., • Apply quantitative techniques (e.g., factor modelling, regression analysis, statistical testing) to enhance investment conviction., • Leverage large datasets — including alternative and market microstructure data — to uncover signals and trends., • Integrate macroeconomic and micro credit drivers, sector dynamics into both qualitative and quantitative research frameworks. Collaboration & Leadership • Partner with PM, traders, and risk management to align research with portfolio construction and risk-adjusted return goals., • Collaborate with quantitative researchers and data engineers to refine analytical toolkits., • Represent credit research perspectives in firmwide investment discussions. Qualifications: • 7–12+ years of experience in fundamental credit research with exposure to quantitative methods; hedge fund or credit-focused buy-side experience preferred., • Proven track record of generating profitable investment ideas., • Strong foundation in corporate finance, credit valuation, and capital structure analysis., • Proficiency in Python, R, or MATLAB for modelling, statistical analysis, and data manipulation., • Familiarity with databases, APIs, and data science workflows (SQL, Pandas, NumPy, etc.)., • Excellent communication skills with the ability to present complex analysis clearly and persuasively., • Commercial mindset and disciplined risk awareness. Preferred Experience: • Coverage in high-yield, distressed, or special situations credit., • Familiarity with quantitative factor models, machine learning applications, or statistical arbitrage concepts applied to credit., • Experience with large/alternative datasets (credit card, supply chain, satellite, etc.) and integration into research processes., • Advanced degree in a quantitative or financial discipline (CFA, MBA, MSc, PhD) desirable but not essential. What We Offer • Competitive compensation structure with performance-based upside., • The opportunity to drive research impact at the heart of a high-conviction, performance-driven hedge fund., • Access to cutting-edge data, tools, and infrastructure to support research innovation., • A collaborative environment that prizes intellectual rigour and creativity.

We’re looking for a detail-oriented professional to join our Legal Technology team. In this role, you’ll help design, test, and implement tools that make litigation workflows more efficient, from document review and case management platforms to AI-driven analytics and data automation. What You’ll Do • Support case teams with technology solutions for document review, data processing, and case management., • Build and maintain automated workflows using low-/no-code tools and scripting., • Partner with internal teams to customize solutions and ensure seamless integration into legal processes., • Troubleshoot and resolve technical issues, manage file transfers, and handle structured/unstructured data., • Provide training, documentation, and guidance to users on best practices., • Contribute to eDiscovery processes, including data collection, processing, review, and production., • Experiment with emerging AI and analytics tools to improve legal technology services. What We’re Looking For • Experience with litigation support or eDiscovery platforms (e.g., Relativity, Nuix, LAW, etc.)., • Solid background in data handling, automation, or database administration., • Familiarity with scripting (Python, Java) and text/data manipulation techniques., • Understanding of analytics tools such as TAR, email threading, or concept analysis., • Strong problem-solving skills and the ability to explain technical ideas in plain language., • Excellent communication, organizational, and project management abilities., • Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or related field., • At least 5 years’ experience working with litigation data or database platforms. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

Actuarial Business Analyst – Data Modernization (Property & Casualty Insurance) Location: Remote Work Experience: 10+ Years Salary Range: $110-130K per annum About the Role We are seeking a motivated and detail-oriented Actuarial Business Analyst to support actuarial and data modernization initiatives for our P&C insurance business. This role focuses on transforming legacy systems, improving data quality, and enabling advanced analytics through modern data platforms. The position involves collaboration with actuarial, data engineering, and business teams to ensure accurate, efficient, and scalable data solutions. Key Responsibilities • Perform actuarial analyses to support pricing, reserving, forecasting, and portfolio monitoring for P&C lines of business., • Collaborate with data engineering teams to design and implement data warehouse (DWH) solutions, ensuring actuarial data is structured for advanced analytics., • Develop and maintain data models to support actuarial processes and reporting., • Conduct experience studies, trend analyses, and exposure analyses using modern data tools., • Support rate filings, model documentation, and regulatory submissions., • Build reports and dashboards that communicate actuarial insights to senior management, underwriting, and risk teams., • Work closely with stakeholders to validate assumptions and ensure alignment with business strategies., • Contribute to modernization efforts by migrating actuarial data from legacy systems to cloud-based platforms., • Stay updated on emerging data technologies, regulatory changes, and best practices in actuarial analytics. Qualifications & Skills Education & Experience: • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or related field., • Total work experience 10+ years with 5+ years in P&C actuarial work and business analysis., • Experience in data modernization or migration projects is highly desirable., • Strong proficiency in SQL for data extraction and transformation., • Experience with data warehousing (DWH) concepts and tools., • Knowledge of data modeling techniques for actuarial and analytical purposes., • Familiarity with actuarial software (e.g., ResQ, Emblem, Radar) is a plus., • Strong analytical and problem-solving capabilities., • Effective communication skills, including ability to explain complex data and actuarial concepts to non-technical stakeholders., • Ability to work both independently and collaboratively in a fast-paced environment., • Strong organizational skills and attention to detail. For more information on benefits and what we offer please visit us at

Project Description: For the world most global bank we are building the platform, which supports various information gathering and processing across the organization and providing access to this data through both private and public cloud. The solution is built from the scratch using the latest technologies. Responsibilities: • Write good and well-tested code using Java / Python, • Write Test Cases and User/Support Documentation of your code, • Development environment support (mostly automation using Jenkins CI, Bash), • Evaluate and adopt new development tools, libraries and methods to improve quality, • Perform peer code review of project codebase changes Mandatory Skills Description: Java, Expertise in object-oriented programming is a must. Python (3.x): Intermediate proficiency at least. Proficiency in designing and consuming RESTful APIs (HTTP methods, status codes, idempotency). - Expertise with JSON serialization/deserialization (e.g., Jackson or Gson in Java). - Handling authentication (OAuth 2.0, JWT) Nice-to-Have Skills Description: MCP's REST endpoints, JSON schemas Understanding of context management in AI is a plus (e.g., session state, conversation history, or intent tracking). Experience integrating with AI APIs (for example Gemini's REST endpoints for text generation or embeddings), handling AI-specific nuances (e.g., prompt engineering, rate limits, error handling for ambiguous outputs) Familiarity with Python-based REST frameworks (e.g., FastAPI, Flask) Experience with implementing retry mechanisms, circuit breakers (e.g., Resilience4j) Spring Boot

Title: ArcGIS Developer Location: NYC NY On-site/Remote/Hybrid: Hybrid (4 days onsite, 1 day remote) Duration: 12 Months Interview Process: 1-2 Rounds Required Skills • A minimum of 5-10 years custom GIS Development experience, Asset Management, Transportation experience, • Minimum 5 years hands-on experience of experience in supporting ESRI GIS software, Portal of ArcGIS, ArcGIS Server, ArcGIS Desktop, HeXagon, Microsoft products, Microsoft Dynamics, Coding Languages such as: SQL & Python Preferred Skills • Preferable 2+ years working experience with transportation or logistics industry, • Strong analytical and problem-solving skills

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; we are looking for candidates with a strong background in Software Engineering or Computer Science for a Java/Software Developer position. Responsibilities: • ● Develop software and web applications using Java 8/J2EE/Java EE (and higher), React.js,Angular2+, SQL, Spring, HTML5, CSS, JavaScript and TypeScript among other tools;, • ● Write scalable, secure, maintainable code that powers our clients’ platforms;, • ● Create, deploy, and maintain automated system tests;, • ● Work with Testers to understand defects opened and resolves them in a timely manner;, • ● Support continuous improvement by investigating alternatives and technologies and, • presenting these for architectural review;, • ● Collaborate effectively with other team members to accomplish shared user story, • and sprint goals;, • Basic Qualifications:, • ● Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) an understanding of the software development life cycle;, • ● Basic programming skills using object-oriented programming (OOP) languages with in-depth knowledge of common APIs and data structures like Collections, Maps, lists, Sets etc., • ● Knowledge of relational databases (e.g. SQL Server, Oracle) basic SQL query language skills, • Preferred Qualifications:, • ● Master’s Degree in Computer Science (CS), • ● 0-1 year of practical experience in Java coding, • ● Experience using Spring, Maven and Angular frameworks, HTML, CSS, • ● Knowledge with other contemporary Java technologies (e.g. Weblogic, RabbitMQ,, • Tomcat, etc.) · Knowledge of JSP, J2EE, and JDBC, • ·, • Compensation: $65,000.00 to $80,000.00 /year, • BeaconFire is an e-verified company. Work visa sponsorship is available.

We are partnering with a global financial institution to hire a Liquidity Risk & ALCO Reporting Specialist. This is an exciting opportunity to join a high-visibility team that sits at the intersection of Treasury, Risk, and Finance, helping to shape balance sheet strategy and regulatory compliance. Please note: At this time, we are unable to offer visa sponsorship or H-1B transfers. Applicants must be authorized to work in the United States without the need for current or future sponsorship. Key Responsibilities • Prepare and deliver ALCO reporting packages, providing insights into liquidity, capital, and market risks., • Conduct liquidity stress testing and analyze funding profiles, deposit flows, and contingency scenarios., • Evaluate capital adequacy, earnings sustainability, and asset quality to support risk and strategic decision-making., • Partner with Treasury, Risk, and Finance teams to ensure reporting accuracy and alignment with business goals., • Contribute to regulatory and internal reporting requirements, ensuring compliance with industry standards. Ideal Candidate Profile • 3-6+ years of experience in banking, treasury, risk management, or financial institution supervision., • Strong understanding of liquidity risk, balance sheet management, and financial statements., • Experience with liquidity stress testing, ALM, or investment portfolio analysis (e.g., fixed income, municipal bonds)., • Advanced Excel skills (exposure to Alteryx, R, or Python a plus but not required)., • Excellent communication skills, with ability to translate complex analysis into clear insights for leadership. Why Apply? • Join a mission-driven financial institution with strong global presence., • Work in a collaborative environment with exposure to senior stakeholders., • Gain experience in a high-demand skillset across liquidity, ALCO, and regulatory reporting., • Opportunity to grow into broader roles across Treasury, Risk, or Finance.

Senior Identity Services Engineer_ New York City, NY, PA, CT, NJ Full-Time (FTE)Direct Hire Position: Senior Identity Services Engineer Job Type: Full-Time (FTE) Location: New York City-NY Office space available at location listed The candidate would need to live in the following states NY, PA, CT, NJ Industry: Healthcare / Health Services - Medical Records / IT / Informatics Job Category: Information Technology - Security Base Salary: $97,000 to $145,000 +Best-in-class benefits Preferred Qualifications: • Hands-on experience with the Ping Identity platform, particularly:, • PingFederate, PingOne, PingID, PingDirectory, • Experience with MFA and Passwordless/FIDO2/WebAuthn authentication strategies, • Experience building and configuring enterprise SSO applications in Azure AD / Entra ID, • Exposure to IAM orchestration platforms such as PingOne DaVinci or similar tools, • Experience supporting cloud identity integrations (Azure, AWS, GCP), • Familiarity with enterprise SSO in hybrid environments (on-prem and cloud-based apps), • Strong documentation and communication skills, • Comfortable collaborating across technical and non-technical teams, • Ability to lead projects and mentor junior engineers Required Qualifications: • 5+ years of Identity & Access Management experience with a strong focus on SSO and federation Deep technical knowledge of: • PingFederate, Azure AD, Okta, ADFS, • Federation protocols including SAML, OIDC, and OAuth2, • LDAP, Active Directory, SCIM, • Proficiency in scripting and development with PowerShell, Python, and Java, • Experience working with REST APIs for IAM services; familiarity with Postman or similar tools, • Familiarity with OGNL expression language for customizing PingFederate policies, • Front-end UX design and customization using HTML, CSS, and JavaScript, • Basic Linux administration skills for maintaining and managing IAM infrastructure, • Working knowledge of certificates and PKI (X.509, certificate chains, signing, encryption, keystore management), • Strong troubleshooting and debugging skills across application, identity, and network layersx, • Understanding of modern identity concepts such as Zero Trust, adaptive authentication (risk-based, device/user signals), and conditional access Candidate Details: *5+ to 7 years experience *Seniority Level - Mid-Senior *Minimum Education - High School Diploma or Equivalent *Willingness to Travel - Occasionally

Join a dynamic eCommerce company as a Manager, Data Science & Business Intelligence, where you'll build out a best in class capability across an established but growing company. This is a role with tons of exposure to the C-suite and room for impact. As a Manager, Data Science & Business Intelligence: • You'll build out best-in-class modeling and analytical capabilities shortening the critical path between measurement and action., • You'll develop and deploy of models across a wide range of functional areas – including Finance, Operations, Marketing, and Customer Service – and will design and implement dashboards, reports, and visualizations to make the team’s results understandable for business users across the company., • You'll create statistically rigorous experiments and scalable A/B testing frameworks, implement algorithmic recommendation models, and conduct forecasting, clustering, and regression analyses., • You'll have core ownership of reporting & dashboarding within our Tableau ecosystem, • You'll solve problems in the realms of pricing, forecasting, supply-chain management, digital measurement, and assortment optimization, • You'll focus on shortening the path between measurement and action, transforming raw data into rigorous models, user-friendly dashboards, and high-visibility KPIs., • You'll translate from data to models to insights, build out a suite of dashboarding solutions, and turn your quantitative recommendations into business decisions Core Responsibilities: • Reporting: Build, support, and maintain a wide range of dashboards and reports, ensuring that each asset features rigorous analytic approaches and strong visual design, • Data Science Modeling: Design and construct predictive models and analytic decision-making pipelines, using both supervised and unsupervised learning techniques, • Experimentation: Conduct experiments in pricing, marketing, website design, and user recommendations, building rigorous A/B testing frameworks and strong causal inference models, • Teaching: Ensure that associates throughout are trained on the tools, systems, and dashboards that you build, and are empowered to deliver independent analytics of their own., • Data Engineering: Work to understand business problems, design quantitative solutions, and translate those solutions into rigorous requirements for our Data Engineering teams, building better data structures for the organization as a whole, • Data: Take ownership of the structure, availability, completeness, and accuracy of the company's data, ensuring that each component of our analytic processes can be trusted and relied upon., • Insights: Fulfill ad-hoc research and analytic requests across a wide variety of domain spaces and present core insights to stakeholders and business leaders. Must have: • Really strong Project Management experience, • Bachelor's degree in Computer Science, Economics, Statistics, Marketing, or a related field, • 4-8+ years in analytical roles, with a focus on quantitative analysis and dashboards, • Expert-level fluency in both SQL and Tableau, with the ability to communicate these skills to others., • Statistical and data scientific experience across a strong breadth of models and approaches, from traditional regression and clustering techniques to modern forecasting algorithms and recommendation models – preferably in Python or R, • Exposure to multiple analytic domain spaces (e.g., revenue management, assortment, forecasting, digital optimization, segmentation, etc)., • Excellent relationship management, communication, and data-presentation skills, including a strong eye for the creation of compelling visual narratives., • The ability to take initiative, act independently, and function under ambiguity. Helpful, but not required: • Experience with Snowflake and associated tools, • Project Management tools/framework exposure - Agile, Six Sigma, etc., • Familiarity with data engineering pipelines and systems (dbt, airflow, etc), • Hands-on data-scientific modeling experience in R or Python, • Knowledge of best-practices in data-governance and data-security, • Exposure to database administration principles and schema design, • Competency in Agile-based approaches and frameworks Compensation: • Base salary $155k - $160k + cash bonus + benefits and flexible for the perfect candidate Hybrid Schedule: • 3 days per week in the Manhattan office (mid-town)

Location: New York (Hybrid - 2 days a week in office required) About the job: We’re seeking a Lead Data Engineer to drive innovation and excellence across our Marketing Technology data ecosystem. You thrive in dynamic, fast-paced environments and are comfortable navigating both legacy systems and modern data architectures. You balance long-term strategic planning with short-term urgency, responding to challenges with clarity, speed, and purpose. You take initiative, quickly familiarize yourself with source systems, ingestion pipelines, and operational processes, and integrate seamlessly into agile work rhythms. Above all, you bring a solution-oriented, win-win mindset—owning outcomes and driving progress. What you will do at Sogeti: • Rapidly onboard into our Martech data ecosystem—understanding source systems, ingestion flows, and operational processes., • Build and maintain scalable data pipelines across Martech, Loyalty, and Engineering teams., • Balance long-term projects with short-term reactive tasks, including urgent bug fixes and business-critical issues., • Identify gaps in data infrastructure or workflows and proactively propose and implement solutions., • Collaborate with product managers, analysts, and data scientists to ensure data availability and quality., • Participate in agile ceremonies and contribute to backlog grooming, sprint planning, and team reviews. What you will bring: • 7+ years of experience in data engineering, with a strong foundation in ETL design, cloud platforms, and real-time data processing., • Deep expertise in Snowflake, Airflow, dbt, Fivetran, AWS S3, Lambda, Python, SQL., • Previous experience integrating data from multiple retail and ecommerce source systems., • Experience with implementation and data management for loyalty platforms, customer data platforms, marketing automation systems, and ESPs., • Deep expertise in data modeling with dbt., • Demonstrated ability to lead critical and complex platform migrations and new deployments., • Strong communication and stakeholder management skills., • Self-driven, adaptable, and proactive problem solver Education: • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field. Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: • Flexible work options, • 401(k) with 150% match up to 6%, • Employee Share Ownership Plan, • Medical, Prescription, Dental & Vision Insurance, • Life Insurance, • 100% Company-Paid Mobile Phone Plan, • 3 Weeks PTO + 7 Paid Holidays, • Paid Parental Leave, • Adoption, Surrogacy & Cryopreservation Assistance, • Subsidized Back-up Child/Elder Care & Tutoring, • Career Planning & Coaching, • $5,250 Tuition Reimbursement & 20,000+ Online Courses, • Employee Resource Groups, • Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being, • Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $125,000 - $175,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

About Beauty by Imagination: Beauty by Imagination is a global haircare company dedicated to boosting self-confidence with imaginative solutions for every hair moment. We are a platform company of diverse, market-leading brands, including Wet Brush, Goody, Bio Ionic, and Ouidad — all of which are driven to be the most trusted choice for happy, healthy hair. Our talented team is passionate about delivering high-performing products for consumers and salon professionals alike. Position Overview: We are looking for a skilled Data Engineer to design, build, and maintain our enterprise Data Warehouse (DWH) and analytics ecosystem — with a growing focus on enabling AI-driven insights, automation, and enterprise-grade AI usage. In this role, you will architect scalable pipelines, improve data quality and reliability, and help lay the foundational data structures that power tools like Microsoft Copilot, Copilot for Power BI, and AI-assisted analytics across the business. You’ll collaborate with business stakeholders, analysts, and IT teams to modernize our data environment, integrate complex data sources, and support advanced analytics initiatives. Your work will directly influence decision-making, enterprise reporting, and next-generation AI capabilities built on top of our Data Warehouse. Key Responsibilities • Design, develop, and maintain Data Warehouse architecture, including ETL/ELT pipelines, staging layers, and data marts., • Build and manage ETL workflows using SQL Server Integration Services (SSIS) and other data integration tools., • Integrate and transform data from multiple systems, including ERP platforms such as NetSuite., • Develop and optimize SQL scripts, stored procedures, and data transformations for performance and scalability., • Support and enhance Power BI dashboards and other BI/reporting systems., • Implement data quality checks, automation, and process monitoring., • Collaborate with business and analytics teams to translate requirements into scalable data solutions., • Contribute to data governance, standardization, and documentation practices., • Support emerging AI initiatives by ensuring model-ready data quality, accessibility, and semantic alignment with Copilot and other AI tools. Required Qualifications • Proven experience with Data Warehouse design and development (ETL/ELT, star schema, SCD, staging, data marts)., • Hands-on experience with SSIS (SQL Server Integration Services) for building and managing ETL workflows., • Strong SQL skills and experience with Microsoft SQL Server., • Proficiency in Power BI or other BI tools (Tableau, Looker, Qlik)., • Understanding of data modeling, performance optimization, and relational database design., • Familiarity with Python, Airflow, or Azure Data Factory for data orchestration and automation., • Excellent analytical and communication skills. Preferred Qualifications • Experience with cloud data platforms (Azure, AWS, or GCP)., • Understanding of data security, governance, and compliance (GDPR, SOC2)., • Experience with API integrations and real-time data ingestion., • Background in finance, supply chain, or e-commerce analytics., • Experience with NetSuite ERP or other ERP systems (SAP, Oracle, Dynamics, etc.). AI Focused Preferred Skills: • Experience implementing AI-driven analytics or automation inside Data Warehouses., • Hands-on experience using Microsoft Copilot, Copilot for Power BI, or Copilot Studio to accelerate SQL, DAX, data modeling, documentation, or insights., • Familiarity with building RAG (Retrieval-Augmented Generation) or AI-assisted query patterns using SQL Server, Synapse, or Azure SQL., • Understanding of how LLMs interact with enterprise data, including grounding, semantic models, and data security considerations (Purview, RBAC)., • Experience using AI tools to optimize ETL/ELT workflows, generate SQL scripts, or streamline data mapping/design., • Exposure to AI-driven data quality monitoring, anomaly detection, or pipeline validation tools., • Experience with Microsoft Fabric, semantic models, or ML-integrated analytics environments. Soft Skills • Strong analytical and problem-solving mindset., • Ability to communicate complex technical concepts to business stakeholders., • Detail-oriented, organized, and self-motivated., • Collaborative team player with a growth mindset. Impact You will play a key role in shaping the company’s modern data infrastructure — building scalable pipelines, enabling advanced analytics, and empowering the organization to safely and effectively adopt AI-powered insights across all business functions. Our Tech Stack • SQL Server, SSIS, Azure Synapse, • Python, Airflow, Azure Data Factory, • Power BI, NetSuite ERP, REST APIs, • CI/CD (Azure DevOps, GitHub) What We Offer • Location: New York, NY (Hybrid work model), • Employment Type: Full-time, • Compensation: Competitive salary based on experience, • Benefits: Health insurance, 401(k), paid time off, • Opportunities for professional growth and participation in enterprise AI modernization initiatives

The Marwood Group is a leading healthcare advisory and research firm headquartered in New York City with offices in Washington, D.C. and London, England. Marwood Advisory is based out of the NYC office and works with private equity, corporate healthcare, lenders, investment banks, law firms, and other healthcare-focused entities to provide diligence services on prospective transactions and advise their corporate strategies. The Senior Data Analyst will join a growing analytics team and play a key role in building and scaling Marwood’s data capabilities across a broad range of engagements. This individual will act as a thought partner to Marwood’s consulting teams and subject matter experts, applying technical skills, industry knowledge, and intellectual curiosity to develop data-driven analyses and insights that inform healthcare investors and organizations. Some of the things you'll do: • Collaborate with in-house healthcare experts to create new analyses and tools for client engagements, using a combination of public, proprietary, and client-specific data sources., • Conduct research and analysis across industry literature, government and commercial datasets, and company financial information to develop a deep understanding of the U.S. healthcare services landscape and related data., • Work creatively to solve novel client questions by leveraging existing data sources in new and insightful ways., • Design, develop, and manage dashboards on Marwood’s internal self-service analytics platform for key internal stakeholders., • Help improve internal processes related to data management, quality control, and documentation. We're looking for someone who has: • 3–5 years of professional experience in a data or analytics role., • 2+ years working with healthcare-specific datasets, particularly insurance claims, enrollment, and price transparency data., • Familiarity with the U.S. healthcare system, including providers, payers, and industry dynamics., • Proficiency in SQL for efficient data aggregation and analysis of large datasets., • Experience cleansing and transforming data from disparate sources., • Familiarity with cloud-based data warehouses such as Snowflake and Databricks., • Proficiency in business intelligence and data visualization tools (e.g., Sigma Computing, Looker, Tableau)., • High proficiency in Excel for data manipulation and presentation., • Knowledge of HIPAA regulations and working with healthcare data environments., • Experience using dbt (data build tool) and GitHub for data modeling and version control., • Experience in consulting or healthcare investment environments, • Competitive base salary commensurate with experience, plus an annual performance bonus., • Health with HSA option, dental, vision insurance basic and voluntary life, LTD, Spouse and Dependent Life, commuter benefits, FSA, DCFSA., • 401(k) with company match., • Paid time off and holidays., • Significant advancement opportunities aligned with the growth of Marwood’s analytics capabilities., • Position is based in Marwood’s NYC office or remote (U.S.-based only)., • Applicants must be authorized to work in the U.S. Please submit your resume and cover letter with salary expectations to with the subject line Sr Data Analyst. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class. All applicants must have authorization to work in the U.S.

The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code. Responsibilities • Develop quality software and web applications using Java , Python , React , NodeJS., • Analyze and maintain existing software applications, • Design highly scalable, testable code, • Discover and fix programming bugs Qualifications • Bachelor's degree or equivalent experience in Computer Science or related field, • Experience with agile development methodologies and Test-Driven Development (TDD), • Use programming languages including but not limited to Python, Java, or JavaScript and React, Springboot, Node.js frameworks., • NoSQL / SQL database or relational database skills ., • Experience with developing applications in AWS development stack. Candidate should be willing to work onsite 3 days a week.

UX/UI Designer - Angular Python US Based EST NY Hybrid-Remote - US Remote - EST Zone 1+ year contract Approx $500-$650pd (W2) 65-85ph New York USA / US Remote with EST working hours Start ideally within 2 weeks notice Contract role for an International Institution, Agency, we are looking for a UX/UI Specialist with 3 + years of experience of UX/UI design which includes, usability testing, integrating APIs, and knowledge of Angular and Python frameworks etc. Ideally based in New York USA Hybrid/US remote with EST working hours possible. English speaking with second language in French or Arabic an advantage. Responsible for designing and improving the user interface (UI) and experience (UX) of software products. This includes conducting user research, creating wireframes, designing user interfaces, conducting usability testing, providing interactive prototypes for early validations. REQUIREMENTS: • UX/UI Specialist with 3 + years of experience of UX/UI design, • 3 years of experience as ICT Innovation Support, including a skillset in UX/UI design, usability testing, integrating APIs and knowledge of Angular and Python frameworks is required • Previous experience working with the UN system is considered an advantage., • Knowledge of English is required., • Knowledge of French and Arabic is considered an advantage. Delivery is expected to be fully remote, with no need to travel to NY but based ideally in EST time zone . The consultant must be available for online meetings during NY (EST) working hours (UTC-05:00). Everybody is Welcome Diversity and Inclusion Statement | PCR Digital “At PCR Digital, we are committed to ensuring that diversity, equity and inclusion play a role at all stages of our recruitment – it is important to us that our own company culture and the culture of our network is as varied and supportive as possible. We love people (it’s why we do what we do), so, regardless of background, we welcome you to work with us or apply to any of our jobs if you feel that they are right for you.” We also aim to ensure that our entire process is accessible. Please make us aware of any adjustments you may need throughout the selection, interview and general process and we will do all we can to ensure that any barriers are removed for you.

The Director of Cloud Operations is responsible for leading and advancing the organization’s hybrid infrastructure across Azure cloud and on-premises systems, ensuring stability, scalability, and compliance across all environments. This role oversees a team of cloud and infrastructure engineers supporting Azure, Microsoft 365, VMWare, Citrix, Networking, and various clinical workloads. This team designs, plans, & implements technical solutions to business, clinical and or technical problems as needed. The Director will play a key role in migrating on-premises workloads to cloud-based equivalents (e.g., voice, identity, data platforms), driving automation and identity access management (IAM) strategies, and maintaining strong disaster recovery and business continuity capabilities. This position combines strategic leadership with hands-on technical oversight, ensuring that systems are secure, cost-optimized, and aligned with organizational and regulatory (HIPAA/HITRUST) requirements. DUTIES AND RESPONSIBILITIES: 1. Lead and mentor the Cloud Operations and Infrastructure team, including but not limited to systems administrators, Network, Telecom, & Cloud engineers., 2. Define and execute the hybrid infrastructure roadmap, driving migration of on-premises workloads to Azure or equivalent cloud environments., 3. Partner with IT leadership to align infrastructure initiatives with business objectives and compliance frameworks., 4. Oversee policies, processes, and governance to ensure operational excellence, system uptime, and cost efficiency., 5. Manage daily operations for all infrastructure including but not limited to Azure, Microsoft 365, VMware and Citrix environments., 6. Ensure high availability, performance, and security across hybrid systems. Lead automation initiatives for user account provisioning, lifecycle management, and SSO integration using tools such as Entra ID, SCIM, and PowerShell. 8. Oversee monitoring, capacity planning, and incident response across all infrastructure layers. Lead implementation and maintenance of a comprehensive Disaster Recovery and Business Continuity Plan, ensuring regular testing and continuous improvement. 10. Optimize resource usage and cost management across environments., 11. Partner with the Security and Compliance teams to ensure adherence to HIPAA, HITRUST, and NIST standards., 12. Manage IAM frameworks, conditional access, and identity governance across cloud and on-prem environments., 13. Oversee patching, vulnerability management, and endpoint compliance., 14. Ensure all solutions meet internal audit and regulatory requirements., 15. Collaborate with application, networking, and security teams to support integrated DevOps and automation practices., 16. Coordinate migration projects for workloads such as VoIP, data storage, and applications from on-prem to Azure., 17. Manage vendor relationships and ensure service levels meet organizational expectations., 18. Stay current with emerging technologies and propose improvements to strengthen resilience and efficiency. EDUCATION AND EXPERIENCE: • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience., • 5+ years of progressive leadership experience managing IT infrastructure & cloud operations teams., • 8+ years of experience in systems engineering, infrastructure management & cloud architecture., • Demonstrated expertise with: Microsoft Azure, Microsoft 365 (Exchange, Intune, SharePoint, Teams, OneDrive), Identity & Access Management (IAM), Entra ID, MFA, and SSO., • Experience managing VMWare, Citrix, and Mitel environments., • Experience with Manage Engine ITMS, including Service Desk, Endpoint Central, or similar tools., • Experience leading Disaster Recovery planning and execution., • Working knowledge of healthcare IT and regulatory frameworks (HIPAA, HITRUST, NIST)., • Microsoft Certified: Azure Solutions Architect Expert or Azure Administrator Associate preferred. 10. ITIL v4 certification desired. KNOWLEDGE, SKILLS, AND ABILITIES: a. Microsoft Windows Server operating systems b. Microsoft 365 services (Exchange, Intune, SharePoint, Teams, OneDrive, etc.) c. Azure infrastructure and networking (VNets, firewalls, VPNs, routing) d. M365 Security and Compliance portal e. Hybrid Microsoft Azure/on-prem Active Directory, Group Policy, DNS f. Azure SSO Federation/Integration, SCIM automated user provisioning g. Azure Enterprise Apps h. Multi-Factor Authentication and conditional access policies i. M365 Cloud license management j. SSL certificate management k. Cloud technologies: Azure, AWS, Google l. Office Applications: Outlook, OneNote, Excel, Word and PowerPoint and integration points with SharePoint Online m. n. o. p. CLI and scripting skills (PowerShell, python, etc.) Networking concepts (i.e., Firewalls, VLANs, IP subnetting, IP routing, VPN, etc.) Email authentication/verification methods (SPF, DMARC, DKIM) Encryption technologies (i.e. SSL, TLS, HTTPS, SSH, etc.) 20. Strong leadership, coaching, and communication skills., 21. Proven ability to manage cross-functional teams and large, complex projects., 22. Capacity and resource planning capabilities and knowledge of associated relevant tools, 23. Regulatory compliance experience, 24. Exceptional work ethic and time management skills, 25. Ability to work well independently and/or as part of a team, 26. Strong communication skills and a commitment to customer service PHYSICAL DEMANDS: 1. Occasional travel to Health Centers and other locations as needed within the NYC area. WORKING CONDITIONS: Hybrid role, starting with 4 days onsite, but eventually and once established moving to 3 days on site and 2 days remote AMAZING Benefits with 2 pension plans!!!

About Wavestone Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. We are Wavestone. Energetic, solution-driven experts who focus as much on people as on performance and growth. Hand in hand, we share a deep desire to make a positive impact. We are an ambitious firm with a worldwide reach and an ever-expanding portfolio of clients, topics, and projects. In North America, Wavestone operates from hubs in New York City, Pittsburgh, Dallas and Toronto. We work closely with CEOs and technology leaders to optimize IT strategy, sourcing models, and business processes and are committed to building lasting partnerships with our clients. Are you a true team player, living strong values? Are you a passionate learner, aiming to grow every day? Are you a driven go-getter, tackling challenges head-on? Then we could be the right fit for you. Join Wavestone and thrive in an environment that’s empowering, collaborative, and full of opportunities to turn today’s challenges into tomorrow’s solutions – contributing to one or more of our core 4 capabilities: Business Consulting | Business Strategy & Transformation, Organizational Effectiveness & Change Management, Operating Model Design & Agility, Program Leadership & Project Management, Marketing, Innovation, & Customer Experience Technology Consulting | IT Strategy & CTO Advisory, Technology Delivery, Data & Artificial Intelligence, Software & Application: Development & Integration, SAP Consulting, Insurance/Reinsurance Cybersecurity | Cyber Transformation Remediation, Cyber Defense & Recovery, Digital Identity, Audit & Incident Response, Product & Industrial Cybersecurity Sourcing & Service Optimization | Global Services Strategy, IT & Business Process Services Outsourcing, Global In-House Center Support, Services Optimization, Sourcing Program Management Read more at Job Description As a Data Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams. In this role you would be leading or supporting high-impact data transformation, data modernization and data initiatives to accelerate and enable AI solutions, bridging business strategy and technical execution. You will architect and deliver robust, scalable data solutions, while mentoring teams and helping to shape the firm’s data consulting offerings and skills. This role requires a unique blend of strategic vision, technical depth, and consulting leadership. Key Responsibilities • Lead complex client engagements in data engineering, analytics, and digital transformation, from strategy through hands-on implementation., • Advise C-level and senior stakeholders on data strategy, architecture, governance, and technology adoption to drive measurable business value., • Architect and implement enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake, Databricks, etc.)., • Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations., • Translate business objectives into actionable technical road maps, balancing innovation, scalability, and operational excellence., • Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance., • Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings., • Stay at the forefront of emerging technologies and industry trends in data engineering, AI/ML, and cloud platforms. Key Competencies & Skills • Strategic Data Leadership: Proven ability to set and execute data strategy, governance, and architecture at the enterprise level., • Advanced Data Engineering: Deep hands-on experience designing, building, and optimizing data pipelines and architectures (Python, SQL, Spark, Databricks, Snowflake, Azure, AWS, etc.)., • Designing Data Models: Experience creating conceptual, logical, and physical data models that leverage different data modeling concepts and methodologies (normalization/denormalization, dimensional typing, data vault methodology, partitioning/embedding strategies, etc.) to meet solution requirements., • Cloud Data Platforms: Expertise in architecting and deploying solutions on leading cloud platforms (Azure, AWS, GCP, Snowflake)., • Data Governance & Quality: Mastery of data management, MDM, data quality, and regulatory compliance (e.g., IFRS17, GDPR)., • Analytics & AI Enablement: Experience enabling advanced analytics, BI, and AI/ML initiatives in complex environments., • Executive Stakeholder Management: Ability to communicate and influence at the C-suite and senior leadership level., • Project & Team Leadership: Demonstrated success managing project delivery, budgets, and cross-functional teams in a consulting context., • Continuous Learning & Innovation: Commitment to staying ahead of industry trends and fostering innovation within teams. Qualifications • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent business experience., • 8+ years of experience in data engineering, data architecture, or analytics consulting, with at least 2 years in a leadership or management role., • Demonstrated success in client-facing roles, ideally within a consulting or professional services environment., • Advanced proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Airflow)., • Experience with cloud data platforms (Azure, AWS, GCP, Snowflake)., • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus., • Exceptional problem-solving, analytical, and communication skills., • Industry exposure: Deep experience in Insurance, Pharma, or Financial Services Additional Information Salary Range : $157k - $200k annual salary We are recruiting across several levels of seniority from Senior Consultant to Manager. *Only candidates legally authorized to work for any employer in the U.S on a full time basis without the need for sponsorship will be considered. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Our Commitment Wavestone values and Positive Way At Wavestone, we believe our employees are our greatest ambassadors. By embodying our shared values, vision, mission, and corporate brand, you'll become a powerful force for positive change. We are united by a shared commitment to making a positive impact, no matter where we are. This is better defined by our value base, "The Positive Way," which serves as the glue that binds us together: • Energetic - A positive attitude gives energy to lead projects to success. While we may not control the circumstances, we can always choose how we respond to them., • Responsible - We act with integrity and take ownership of our decisions and actions, considering their impact around us., • Together - We want to be a great team, not a team of greats. The team's strength is each individual member, each member's strength is the team. We are Energetic, Responsible and Together! Benefits • 25 PTO / 6 Federal Holidays / 4 Floating Holidays, • Great parental leave (birthing parent: 4 months | supporting parent: 2 months), • Medical / Dental / Vision coverage, • 401K Savings Plan with Company Match, • HSA/FSA, • Up to 4% bonus based on personal and company performance with room to grow as you progress in your career, • Regular Compensation increases based on performance, • Employee Stock Options Plan (ESPP) Travel and Location This full-time position is based in our New York office. You must reside or be willing to relocate within commutable distance to the office. Travel requirements tend to fluctuate depends on your projects and client needs Diversity and Inclusion Wavestone seeks diversity among our team members and is an Equal Opportunity Employer. At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion and Anti-Racism networks. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, you may reach out to us to discuss this. Feel free to visit our Wavestone website and LinkedIn page to see our most trending insights!!

Project Analyst The Role You will play a key role in building exciting microgrid projects across the United States by empowering the Business Development (BD) team and helping them turn identified opportunities into innovative, high-performing, and bankable projects ready for construction. You will also assist in designing and developing processes and workflows, enabling efficient project development at a grander scale. This is a hybrid role (3 days a week) based in our New York City office (Union Square area), and it reports to our Director of Project Analysis. Key responsibilities will include: • Optimize microgrid design, including solar, batteries, and generators, to solve customer problems and generate attractive returns., • Optimize the Distributed Energy Resources dispatch strategy according to the customer’s load profile, utility rates, and demand response programs., • Use and help develop Scale's proprietary microgrid optimization platform., • Use and help develop Scale's Python and spreadsheet-based tools., • Use 3rd party industry tools such as Helioscope, etc. (experience is appreciated but not a prerequisite.), • Evaluate project economics based on utility savings, grid-services revenue, financing costs, etc., • Assist the BD team with proposal development, client calls, presentations, etc., • Interface with Scale’s engineering, finance, and project management departments., • Nurture relationships with internal peers and external partners., • Help build a department that will be key to the company’s rapid growth. The Ideal Candidate • Bachelor’s degree in engineering, finance, physics, economics, or a related technical field., • 1+ years of experience working in energy, utilities, or a related industry., • Energy project analysis experience is a plus, and advanced degrees or specific undergraduate experience can substitute for relevant work experience., • Comfortable using Python and Excel at an intermediate or above level., • Be able to thrive with minimal oversight in a fast-paced environment., • Take ownership of your projects and assignments, seeing them through to success., • Be intellectually excited about energy and seek opportunities to learn more to grow your knowledge., • Be comfortable giving thoughtful feedback to your peers and even supervisors. This is a great opportunity to have a long-term impact on a fast-paced, private equity-backed growth business. Some of the core virtues embraced by Scales’ employees include: • Do the Right Thing, • Act Like an Owner, • Hustle, • Demand Results, • Go Together, • Evolve or Disappear We offer a competitive compensation package and a comprehensive benefits program including medical benefits, paid vacation and holidays, and 401K matching. About Scale Microgrids Scale Microgrids (“Scale”) is a fully integrated distributed energy platform focused on designing, implementing, and financing innovative distributed clean energy solutions. Through its leading technical expertise and access to scale capital, Scale helps its customers transition to a decentralized energy future by providing and financing sustainable, cost-effective, and resilient power solutions. Scale has its own proprietary microgrid solution, which provides customers with cheaper, cleaner, and more reliable power, and also partners with third-party developers to acquire and/or finance a broader range of distributed energy assets. Scale is backed by EQT, a firm with ~$250B in assets, bringing a depth of experience, resources, and capital that will enable Scale to continue pursuing our vision of powering the world with distributed energy. The investment enables Scale to own and operate billions of dollars in distributed generation assets. To learn more about Scale Microgrids, please visit . About EQT EQT is a leading purpose-driven global investment organization with EUR 246 billion in total assets under management, divided into two business segments: Private Capital and Real Assets. EQT owns portfolio companies and assets in Europe, Asia Pacific, and the Americas and supports them in achieving sustainable growth, operational excellence, and market leadership. To learn more about EQT, please visit . Scale strives to attract and retain a workforce that reflects the composition of our customer base and communities. We are committed to providing a work environment that provides everyone with equal access and opportunity to contribute and drive meaningful outcomes. We encourage applicants from all backgrounds to apply and will consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Vice President, Credit Risk with Goldman Sachs Bank USA in New York, New York. Develop, implement, and maintain credit underwriting strategy for digital lending. Analyze data including traditional and alternative bureau, behavioral and macroeconomic data and use statistical tools and analytical techniques to generate insights and optimize credit decisions including accepting and declining pricing and credit line. Requires: Master’s degree (U.S. or foreign equivalent) in Mathematics, Economics, Finance, Statistics, Information Systems, or a related field OR Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Economics, Finance, Statistics, Information Systems, or a related field. Three (3) years of experience with a Master’s degree or five (5) years of experience with a Bachelor’s degree with the following: building, improving, or analyzing risk management in a consumer lending; utilizing knowledge of U.S. credit bureau data, risk scorecards, and ability to pay quantification to develop credit policy; working with large datasets and big data including trade line, time-series, and transaction data and utilizing advanced analytical packages such as SAS, R, Python and SQL to analyze data, identify insights and make recommendations; visualizing complex data analyses and communicating to a wide variety of audiences, including senior leadership; developing comprehensive risk management reports using SQL or a similar database query language for extracting data from large datasets; and microsoft Office skills, specifically Excel (including creation of pivot tables, logic functions, data tables and regression analysis), PowerPoint and Word. Job Code: 9289989 Salary Range: Annual base salary for this New York, New York -based position is $189,000 – $249,000. QUALIFIED APPLICANTS: Apply at gs.com and click on "Careers." NO PHONE CALLS PLEASE. ©The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

Amazon Connect Developer with LEX, AWS Lambda, Routing Schema, Bedrock & LLM Primary Responsibilities and Skills: In-depth knowledge and Strong hands on exp on AWS Lambda - Python/Java/Node.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. The Horizons team leads Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude 3.5 and 3.7 Sonnet. Our work spans several key areas: • Developing systems that enable models to use computers effectively, • Advancing code generation through reinforcement learning, • Pioneering fundamental RL research for large language models, • Building scalable RL infrastructure and training methodologies, • Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and work hand-in-hand with dedicated RL engineering teams to implement our research at scale. The Horizons team sits at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. As a Data & Evaluation Engineer on the Horizons team, you will build the software infrastructure that enables our AI models to use tools effectively and measure their performance. You'll develop and extend our agent framework, create and implement evaluations, manage training data pipelines, and apply data science techniques to improve model capabilities. This engineering-focused role combines software development with empirical analysis to drive advances in model performance and capabilities. • Extend and improve our agent framework that enables models to interact with tools and environments, • Design and implement evaluation systems that rigorously measure model capabilities across tasks, • Build and maintain data pipelines for collecting, processing, and managing RL training data, • Develop dashboards and analysis tools to extract insights from model performance data, • Collaborate with researchers to translate evaluation needs into scalable, production-grade systems, • Are proficient in Python and data analysis libraries (Pandas, NumPy, etc.), • Have experience creating data visualizations and interactive dashboards, • Enjoy translating complex research questions into concrete measurement approaches, • Possess strong software engineering fundamentals with an emphasis on clean APIs, • Can communicate technical concepts clearly to both engineers and researchers, • Have experience with web development for interactive tools (JavaScript, React, etc.), • Are passionate about measuring and improving AI capabilities and safety, • Experience with LLM specific evaluations and frameworks, • Experience with data visualization libraries and frameworks (D3.js, Plotly, Grafana), • Familiarity with the Jupyter ecosystem and notebook-based workflows, • Knowledge of statistical methods and experimental design, • Experience with web frameworks for building interactive applications (FastAPI, Flask), • Experience working with large datasets and understand performance considerations, • Comfort engaging with ML research papers and implementing metrics from academic literature, • Formal certifications or education credentials, • Prior experience with reinforcement learning research Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary:$300,000—$425,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of ___ 3 years in a row! About You: A seasoned ML expert who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems – not incremental or marginal improvements – and you're supercharged by having interesting, unsolved problems continually present themselves. In this Role, you will: • Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies, • Suggest and implement new features to improve model performance and business logic, • Work closely with product & engineering stakeholders to identify business opportunities and technical feasibility using ML/AI, • Mentor and guide more junior MLEs across the organization to drive towards technical excellence in ML workflows and product deliveries, • Build ML models for production use, write and review production-quality PRs daily, • Translate client business problems into ML problems, • Build scalable machine learning models for claim time series forecasting,NLP text understanding, and generative AI solutions, • Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets Requirements & Skills: • You are an ML Engineer / Data Scientist with 5+ years of experience, especially in highly scalable production environments, with a proven track record of quickly getting from idea to production, • You have deep exposure to data science & AI tech stacks (sklearn, Keras / PyTorch, LLM / gen AI frameworks, tuning frameworks, A/B experimentation), data analysis & modeling, feel at home in Python/Pandas/Jupyter yet switch seamlessly to work in production environments & pipelines, and strive for scalable technical concepts and solutions., • You’re a team player who is solutions-oriented., • You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences., • You have 2+ years of experience leading teams of 5+ ML engineers in high stakes production environments., • You owned, deployed, and maintained model-serving pipelines in production, • Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and following SWE best practices., • Translate cutting-edge research into production-grade solutions. Turn the latest advancements in AI into scalable, high-impact systems that operate seamlessly in live customer environments, • Experience translating state-of-the-art research papers into production code, • Accustomed to collaborating with data labelers and SMEs, • Experience building production agentic systems Even Better if You Have the following: • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes, • Experience with advanced statistical modeling, especially probabilistic programming, • You’re up to date on the latest LLM / gen AI developments and have built LLM / agentic applications and iterated on user feedback., • Ambitious, collaborative, and empathetic values, • A work style that is open to giving and receiving critical feedback and collaborating effectively across teams Work-life, Culture & Perks: • Compensation: the compensation range for this role is 250K+ (with flexibility), as well as corporate bonus, and equity plan offered, • Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%., • Home & Family: Flexible PTO, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn. We also have a flexible vacation policy., • Office Life: Ability to work hybrid. Catered lunches, happy hours, and pet-friendly office space., • Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally, • Sponsorship: We are open to sponsoring candidates currently in the US who need to transfer their active H1-B visa. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

Senior / Staff / Principal Machine Learning Engineer Location: Onsite New York (5 days onsite AND hybrid options) We have multiple startups interested in talent. Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization. Key Responsibilities: * Model Development: Designing and implementing ML algorithms and models, including deep learning models. * Data Handling: Preprocessing, analyzing, and preparing large datasets for model training and evaluation. * System Integration: Collaborating with software engineers to integrate ML models into production systems. * Performance Optimization: Continuously improving and optimizing ML models for accuracy, efficiency, and scalability. * Monitoring and Maintenance: Monitoring model performance in production, troubleshooting issues, and ensuring model reliability. * Staying Updated: Keeping abreast of the latest advancements in ML, AI, and related technologies. * Collaboration: Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions. Essential Skills: * Programming Languages: Strong proficiency in Python, R, or other relevant languages. * ML Frameworks: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn. * Data Science Fundamentals: Solid understanding of statistical analysis, data modeling, and machine learning algorithms. * Problem-Solving: Excellent analytical and problem-solving skills to address complex challenges. * Communication: Effective communication skills to convey technical information to both technical and non-technical audiences. * Collaboration: Ability to work effectively in a team environment. Education and Experience: * A bachelor's or master's degree in computer science, engineering, mathematics, statistics, or a related field is typically required. * Several years of experience in machine learning, data science, or software development is often preferred. Compensation: Market range and can include equity – details can be provided after the specific client is determined.

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build—from flagship playlists like Discover Weekly and Daily Mix to entry points like Home and Search. The Next Generation Sessions (NextGen) product area within PZN is reimagining listening beyond the playlist. We invent cutting-edge personalized sessions like AI DJ, AI Playlist, Blend, Jam, and vertical feeds for discovering music and podcasts. Our team of ~100 engineers, scientists, product managers, and domain experts in music, podcasts, and voice collaborate across New York, Boston, London, Stockholm, and remote locations from Eastern US through Central European time zones. As an Associate MLE / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building, collaborate closely with senior engineers and researchers, and stay at the forefront of AI applied to music and talk content. If you're passionate about the intersection of AI and music and podcasts, obsessed with exploring new AI capabilities, and excited to shape the future of audio, bring your ideas—we’ll invent the next generation of audio together. • Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using the latest capabilities of LLMs, agent frameworks, and Spotify’s recommender systems, • Continuously explore and evaluate new models, tools, libraries, and product trends—bringing fresh ideas into the team from the frontiers of AI and open-source innovation, • Promote and model best practices in AI engineering—including the use of LLMs and agents to power products, advanced evaluation strategies, and AI-assisted coding tools, • Leverage AI coding assistants to rapidly prototype full-stack MVPs, • Collaborate with cross-functional partners—including design, user research, product, data science, tech research, and engineering—to bring new ideas from concept to launch, • Develop a keen eye for software quality, learning to critically evaluate AI-generated code to ensure it meets Spotify's high standards for correctness, performance, and engineering best practices, • Grow your skills with access to Spotify’s comprehensive career development resources and encouragement to develop across disciplines, • Build a strong foundation and culture in AI engineering by leveraging the state of the art, learning from mentors, pairing with Staff engineers, and shipping code that reaches hundreds of millions of users, • You’re a full-stack AI prototyper: building your own projects with modern AI tools, experimenting fast, and iterating based on feedback, • You’re fully plugged into the AI ecosystem—active in online communities, exploring open-source repos, reading papers, trying every new tool you can get your hands on, • You think end-to-end, across the stack—from designing user interactions, to wiring up backends, to building models, to deployment considerations—because you want to see ideas come to life, • You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow, • You have familiarity fine-tuning and evaluating LLMsYou have familiarity building workflows that integrate LLMs and data into autonomous, multi-step workflows, • You have experience crafting prompts to get the results you’re after. You know how to write, improve, and test your prompts to extract value out of LLMs, • You understand the importance of critically reviewing AI-generated code for correctness, quality, and alignment with best practices, • You may have studied AI formally—or you may have taught yourself through hands-on building and deep curiosity, • You thrive in collaborative, interdisciplinary environments and are eager to learn from more experienced engineers, • You’re good at communicating technical topics to less technical peopleYou bring contagious enthusiasm, a creative mindset, and a strong drive to shape the future of AI-powered products, • This role is based in New York.

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build—from flagship playlists like Discover Weekly and Daily Mix to entry points like Home and Search. The Next Generation Sessions (NextGen) product area within PZN is reimagining listening beyond the playlist. We invent cutting-edge personalized sessions like AI DJ, AI Playlist, Blend, Jam, and vertical feeds for discovering music and podcasts. Our team of ~100 engineers, scientists, product managers, and domain experts in music, podcasts, and voice collaborate across New York, Boston, London, Stockholm, and remote locations from Eastern US through Central European time zones. As an MLE II / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building, collaborate closely with senior engineers and researchers, and stay at the forefront of AI applied to music and talk content. If you're passionate about the intersection of AI and music and podcasts, obsessed with exploring new AI capabilities, and excited to shape the future of audio, bring your ideas—we’ll invent the next generation of audio together. • Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using the latest capabilities of LLMs, agent frameworks, and Spotify’s recommender systems, • Continuously explore and evaluate new models, tools, libraries, and product trends—bringing fresh ideas into the team from the frontiers of AI and open-source innovation, • Promote and model best practices in AI engineering—including the use of LLMs and agents to power products, advanced evaluation strategies, and AI-assisted coding tools, • Leverage AI coding assistants to rapidly prototype full-stack MVPs, • Collaborate with cross-functional partners—including design, user research, product, data science, tech research, and engineering—to bring new ideas from concept to launch, • Develop a keen eye for software quality, learning to critically evaluate AI-generated code to ensure it meets Spotify's high standards for correctness, performance, and engineering best practices, • Grow your skills with access to Spotify’s comprehensive career development resources and encouragement to develop across disciplines, • Build a strong foundation and culture in AI engineering by leveraging the state of the art, learning from mentors, pairing with Staff engineers, and shipping code that reaches hundreds of millions of users, • You’re a full-stack AI prototyper: building your own projects with modern AI tools, experimenting fast, and iterating based on feedback, • You’re fully plugged into the AI ecosystem—active in online communities, exploring open-source repos, reading papers, trying every new tool you can get your hands on, • You think end-to-end, across the stack—from designing user interactions, to wiring up backends, to building models, to deployment considerations—because you want to see ideas come to life, • You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow, • You have experience fine-tuning and evaluating LLMsYou have experience building workflows that integrate LLMs and data into autonomous, multi-step workflows, • You have extensive experience crafting prompts to get the results you’re after. You know how to write, improve, and test your prompts to extract value out of LLMs, • You understand the importance of critically reviewing AI-generated code for correctness, quality, and alignment with best practices, • You may have studied AI formally—or you may have taught yourself through hands-on building and deep curiosity, • You thrive in collaborative, interdisciplinary environments and are eager to learn from more experienced engineers, • You’re good at communicating technical topics to less technical peopleYou bring contagious enthusiasm, a creative mindset, and a strong drive to shape the future of AI-powered products., • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___ This team operates within the Eastern Standard time zone for collaboration.The United States base range for this position is $138,250- $197,500plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

THE POSITION Our roster has an opening with your name on it We’re looking for a Machine Learning Engineer to join our growing team and help design, build, and deploy machine learning systems that power real-world applications. In this role, you’ll work closely with data scientists, engineers, and product managers to bring models from experimentation to production and ensure they perform reliably at scale. You’ll contribute across the ML lifecycle—including feature engineering, model training, evaluation, deployment, and monitoring—while growing your skills in software development, ML Ops, and scalable infrastructure. If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play ML Pipeline Development • Collaborate with data scientists to implement and optimize machine learning models for production use., • Develop and maintain pipelines for data preparation, training, and model deployment., • Build tools and services to support real-time and batch inference workloads. Collaboration & Execution • Translate product and business requirements into ML-driven solutions., • Participate in agile workflows, including sprint planning, code reviews, and design discussions., • Work with engineers and analysts to ensure data integrity and efficient feature computation. Quality & Reliability • Implement monitoring and alerting to track model performance and detect issues such as data drift., • Write maintainable, testable code and follow best practices in version control and documentation., • Help automate training, deployment, and retraining workflows using ML Ops tools. THE STACK: Databricks, AWS, Spark, Python, MLFlow, (Generally available ML Libraries), Terraform, Github, Buildkite THE STATS What we're looking for in our next teammate • 2–4 years of experience in software engineering, machine learning, or data science., • Proficiency in Python, with exposure to ML libraries (Scikit-learn, TensorFlow, or PyTorch)., • Solid understanding of data structures, algorithms, and software engineering principles., • Hands-on with SQL and comfortable working with large datasets., • Familiarity with distributed computing (Apache Spark preferred)., • Exposure to ML deployment & monitoring practices or strong interest in learning them., • Bonus: experience with Databricks, MLflow, or similar ML Ops tools., • Experience with cloud services (AWS preferred, GCP or Azure also valuable). Preferred Qualifications • Experience with containerization (Docker, Kubernetes is a plus)., • Familiarity with orchestration/ML Ops tooling (SageMaker, MLflow)., • Understanding of model evaluation metrics and techniques for improving generalization., • Interest in or experience with real-time ML systems, recommendation engines, or NLP. About You You might be a great fit if you often ask yourself questions like: • "How do complex systems actually work end to end, and how can I make them better?", • "What makes software reliable, and how do you design for that from the start?", • "Where’s the balance between moving fast and building things that last?", • "How do small changes in code or data ripple out into big user or business impacts?", • "What can I automate today that will save everyone headaches tomorrow?", • "How do different roles (engineers, data scientists, product managers, etc.) fit together to ship something meaningful?", • "What skills should I grow next if I want to level up from strong engineer to strong ML engineer?" This role will join our Personalization team, working directly with senior engineers to: • Build and optimize ML pipelines and feedback loops for our flagship recommender systems., • Improve observability, monitoring, and on-call reliability across models., • Partner with FinOps to optimize Spark jobs and cloud resource usage., • Adopt and integrate AI Foundations platform tools into workflows. This person will have mentorship from Staff ICs and the opportunity to grow, directly contributing to the revenue-driving backbone of the company. ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: ___. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email ___. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-Hybrid

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. The Horizons team leads Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude 3.5 and 3.7 Sonnet. Our work spans several key areas: • Developing systems that enable models to use computers effectively, • Advancing code generation through reinforcement learning, • Pioneering fundamental RL research for large language models, • Building scalable RL infrastructure and training methodologies, • Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and work hand-in-hand with dedicated RL engineering teams to implement our research at scale. The Horizons team sits at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. As a Research Engineer on the Horizons team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. • Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows., • Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models., • Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows., • Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research., • Are proficient in Python and async/concurrent programming with frameworks like Trio, • Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX), • Have industry experience in machine learning research, • Can balance research exploration with engineering implementation, • Enjoy pair programming (we love to pair!), • Care about code quality, testing, and performance, • Have strong systems design and communication skills, • Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems, • Familiarity with LLM architectures and training methodologies, • Experience with reinforcement learning techniques and environments, • Experience with virtualization and sandboxed code execution environments, • Experience with Kubernetes, • Experience with distributed systems or high-performance computing, • Experience with Rust and/or C++, • Formal certifications or education credentials, • Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary:$340,000—$690,000 USD Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Deep understanding of AI/ML fundamentals, with applied experience solving real-world problems using an AI-first approach. This role is AI-native by design—you are expected to apply GenAI, agent-based workflows, and cutting-edge models as your default problem-solving toolkit. Fluency in Python and

About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of ___ 3 years in a row! About You: An ML expert who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems – not incremental or marginal improvements – and you're supercharged by having interesting, unsolved problems continually present themselves. In this Role, You Will: • Build ML/LLM-driven features for our claim guidance product, including robust extraction of key information from complex medical documents and human-in-the-loop workflows, • Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies, • Suggest and implement new features to improve model performance and business logic, • Write and review production-quality PRs daily, • Translate client business problems into ML problems, • Build scalable machine learning models for claim time series forecasting and NLP text understanding, • Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets Requirements: • You are an ML Engineer / Data Scientist with 3+ years of experience, especially in highly scalable production environments., • You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions., • You’re a team player who is solutions-oriented., • You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences. Even Better if You Have the following: • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes, • Owned and deployed, and maintained model-serving pipelines in production, • Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns, • Experience with advanced statistical modeling, especially probabilistic programming, • Ambitious, collaborative, and empathetic values, • A work style that is open to giving and receiving critical feedback and collaborating effectively across teams Work-life, Culture & Perks: • Compensation: The base salary range is $190-225K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package., • Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits., • Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work., • Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend., • Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement., • Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Our Technology Press Coverage Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You’ll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI—spanning audio-video generation, diffusion architectures, and temporal modeling—and ensure these innovations reach millions of creators worldwide. Responsibilities: * Inference & Deployment * Develop high-performance GPU-based inference pipelines for large multimodal diffusion models. * Build, optimize, and maintain serving infrastructure to deliver low-latency predictions at large scale. * Collaborate with DevOps teams to containerize models, manage autoscaling, and ensure uptime SLAs. * Model Optimization & Fine-Tuning * Leverage techniques like quantization, pruning, and distillation to reduce latency and memory footprint without compromising quality. * Implement continuous fine-tuning workflows to adapt models based on real-world data and feedback. * Production MLOps * Design and maintain automated CI/CD pipelines for model deployment, versioning, and rollback. * Implement robust monitoring (latency, throughput, concept drift) and alerting for critical production systems. * Performance & Scaling * Explore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs. Requirements: * Technical Expertise * Proven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.). * Strong knowledge of containerization (Docker, Kubernetes) and microservice architectures for ML model serving. * Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow). * Model Optimization * Familiarity with compression techniques (quantization, pruning, distillation) for large-scale models. * Experience profiling and optimizing model inference (batching, concurrency, hardware utilization). * Infrastructure * Hands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML. * Strong grasp of logging, monitoring, and alerting tools (Prometheus, Grafana, etc.) in distributed systems. * Domain Experience * Exposure to diffusion models, multimodal video generation, or large-scale generative architectures. * Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments. * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

About Us Applecart is the leading technology company creating a new category of “Decision Maker Marketing”. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders that matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart’s platform uses publicly available or fully permissioned data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those that matter most to them. We are hiring a Staff Front End Engineer in our New York office. About the Role As a Staff Front End Engineer at Applecart, you’ll partner closely with cross-functional teams to shape our technical strategy, maintain a sustainable codebase, and ensure we deliver a performant, polished user experience. Key responsibilities include leading cross-team frontend development and infrastructure efforts, defining technical strategy and standards, mentoring engineers, collaborating closely with design and product teams, and ensuring robust monitoring and performance of web applications. What You’ll Do • Contribute to the design, development, and delivery of performant, polished user experiences while setting best practices and repeatable processes for fast, safe development., • Partner with engineering, product, and design leadership to define and execute technical strategy, balancing business priorities, UX, and sustainable architecture., • Drive short- and long-term roadmaps, contribute to organizational vision, and align frontend efforts with company goals., • Ship large features with minimal guidance; collaborate across teams on major initiatives and shared codebases., • Define, maintain, and advocate for internal standards on style, maintainability, and best practices through code review., • Identify and resolve technical debt to improve efficiency, quality, security, and performance., • Mentor engineers at all levels, supporting their technical growth and unblocking their work., • Lead architectural decisions and critical frontend projects to ensure development excellence., • Design and maintain web infrastructure (servers, load balancers, caching) and shape future systems by introducing maintainable and scalable architecture patterns., • Collaborate with design to ensure consistent, high-quality user experiences., • Establish observability standards, including logging libraries, error monitoring integration, and alerting. Experiences and Capabilities You Bring • 10+ years of software development experience in fast-paced tech environments., • 5+ years of experience in infrastructure and architecture, including frontend infrastructure design, frontend hosting and CDN strategies, deployment pipelines, build systems, and monitoring tools., • Deep expertise in frontend technologies, patterns, and best practices, with extensive professional experience in React or another modern JavaScript framework (Vue, Angular, Ember, etc.)., • Proficient in at least one major backend language (e.g., Python, Java, Kotlin) with full-stack exposure, including API design, database work, and application performance monitoring., • Strong product and design sense; skilled at collaborating with cross-functional partners to deliver high-quality, end-to-end experiences., • Proven technical leadership, including defining roadmaps for complex, multi-team projects and mentoring engineers to support their growth., • Self-directed, able to operate autonomously across teams to deliver large-scale impact. This is a hybrid role. Work from home on Monday and Friday and in Applecart’s New York City office Tuesday through Thursday. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $180,000 - 250,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart’s platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we’ve increased our bookings by 8X, grown our headcount by 4X, and we’re cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle’s online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party’s most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, Executive Chairman of WME, and Jennifer Fonstad, Owl Capital Managing Partner, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionAbout OXMAN & EDEN OXMANOXMAN is a nature-based research and design company based in Manhattan. We incubate nature-centric ventures that address critical challenges at the intersection of Nature and Humanity. Working across sectors, OXMAN fosters innovation that reimagines the relationship between the built environment and the natural world. EDENEDEN is OXMAN’s applied ecological systems initiative operating at architectural, urban, and landscape scales. We are pioneering a digital design environment for engineering biodiverse, resilient ecosystems through the development of software that enables designers and engineers to integrate ecosystem services—including carbon sequestration, thermal buffering, and biodiversity—into master planning and design. Our tools aim to transform ecosystem services from undervalued byproducts into essential infrastructure. While we test and refine the platform through client projects in master planning, architecture, and landscape architecture, our core mission is to build a powerful, adaptable system for designing productive, regenerative environments. We are looking for talented individuals to join us in shaping the future of nature-centric design. Role OverviewEDEN is seeking a Landscape Designer to join our interdisciplinary design team in New York City to support our mission of delivering stellar, data-driven design proposals that leverage EDEN’s unique suite of ecosystem engineering tools. The senior landscape designer will work closely with EDEN’s design leadership team on the analysis, master planning and concept design of large-scale sites to maximize the potential for natural systems to operate as essential infrastructure for the mutual benefit of the environment and our clients. Exceptional documentation, visualization, and communication skills are essential, as are the abilities to think systematically, problem solve proactively, and integrate with new tools and workflows. Responsibilities • Design + Modeling, • Contribute to research, analysis, and all aspects of site design, • Build and maintain high-quality digital and physical 3D models to support design development, simulation, visualization and presentation., • Use Rhino + Grasshopper to manage project base files, produce design iterations, parametric studies, and performance-based simulations., • Source, process, and translate relevant geospatial data into maps, design proposals or data usable by downstream tools, • Visualization + Documentation, • Create compelling graphic plans, diagrams, renderings, and presentation materials, • Produce clear, detailed design documentation for internal use and client deliverables., • Contribute to project reports, proposals, and other written communications., • Collaboration & Integration, • Facilitate collaboration between design, engineering, and computational teams to ensure seamless integration of data, base files, and geospatial data within broader system designs., • Participate in interdisciplinary design reviews and provide feedback on ecological and spatial strategies.Qualifications, • Required, • Master’s degree in landscape architecture or related design discipline., • 2-5 years professional experience producing compelling designs from concept through schematic phases, • Stellar portfolio of work that demonstrates conceptual and technical rigor as well as a sophisticated graphic sensibility., • Advanced proficiency in Rhino and Grasshopper, including parametric modeling workflows., • Proficiency in ArcMap/ArcGIS Pro, • Bonus, • Proficiency in programming is a plus (Python and/or C++), Google Earth Engine, Enscape, and/or Houdini, • Design research experience, especially pertaining to ecology, sustainability, resilience, remote sending, and environmental simulation, • Hand sketching and rendering skillsWhat We Offer, • The opportunity to lead pioneering design work that directly contributes to nature-positive, performance-driven environments., • A collaborative, interdisciplinary culture working at the intersection of design, ecology, and computation.

This opportunity is only for candidates currently residing in the specified country.Your location may affect eligibility and rates.We believe in using the power of collective intelligence to ethically shape the future of AI.The Mindrift platform connects specialists with AI projects from major tech