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Developer Relations Manager PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. Enterprises trust our conversational AI platform to automate millions of customer interactions every day. Your mission is to define the strategy and lead the developer ecosystem for our new Developer Platform. This includes creating world-class technical content, nurturing a vibrant community of AI builders, and acting as the primary advocate for external developers integrating with our APIs and agent-building tools. We are looking for an impact driven and technical Developer Relations Manager to own the developer journey, driving platform adoption, and establishing PolyAI as the premier destination for Conversational AI developers. You will lead technical advocacy, mentor builders, and align closely with product, marketing, and engineering teams, translating frontier Agentic AI into intuitive, well-documented, and scalable developer resources. If you are motivated by empowering developers, solving complex integration challenges, and transforming technical platform capabilities into a thriving, community-led ecosystem, we want to meet you. Key Responsibilities • Define and Lead the Developer Ecosystem Strategy. Establish a winning DevRel strategy and unified developer journey across our core platform APIs, SDKs, and integration points. Define, monitor, and report on key developer success indicators, driving continuous improvement to maximize developer ROI and platform stickiness., • Own and Deliver World Class Technical Content. Oversee the entire content lifecycle for developers, from strategic prioritization of topics to the creation of high-quality tutorials, API documentation, code samples, reference architectures, and video guides demonstrating how to build and optimize LLM-powered agents., • Be the Voice of Developers. Serve as the principal bridge between the external developer community and internal technical execution. Champion developer needs, translate community feedback into actionable product requirements, and challenge our engineering teams to continuously elevate the developer experience (DevEx)., • Community Building and Advocacy. Act as the face of PolyAI to the developer community. Host webinars, speak at industry conferences, organize hackathons, and actively nurture technical discussions on platforms like GitHub, Discord, or Stack Overflow to ensure developers feel supported and engaged., • Integrate and Optimize Core AI Technology for Builders. Work alongside product teams to ensure our underlying LLM, RAG, and tool-calling pipelines are exposed to developers in a way that is intuitive, scalable, and consistent. Provide hands-on feedback during the development of new platform features., • 5+ years of experience in Developer Relations, Technical Evangelism, or Software Engineering, with a strong focus on community engagement and developer experience., • Proven experience driving developer adoption and managing technical communities for API-first B2B, or Enterprise SaaS developer platforms at scale., • Exceptional ability to use qualitative developer insights and quantitative usage data to define, validate, and evolve a technical advocacy strategy., • Demonstrated track record of creating compelling, high-quality technical content (e.g., code repositories, blog posts, architecture diagrams, and technical presentations) that drives developer engagement., • Superior communication skills, with the ability to articulate complex technical AI/ML concepts to both deeply technical audiences and executive leadership., • Experience working with conversational AI, Natural Language Processing (NLP), Large Language Models (LLMs), or speech technologies., • Previous experience defining, measuring, and moving quantitative success metrics for developer communities or open-source projects., • Experience working on a global B2B or Enterprise platform with a significant international developer footprint. Benefits Participation in the company's employee share options plan Comprehensive health coverage for you and your loved ones Life Insurance STD and LTD The opportunity to contribute to the company's 401k plan Flexible PTO policy + 11 designated company holidays Annual learning and development allowance We're all about making WFH work for you - that's why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus! Enhanced parental leave Company-funded fertility and family-forming programmes Menopause care programme with Maven Sabbatical Program: 5-week paid sabbatical available after 5 years of employment At PolyAI, we take great pride in our values - they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact. Our core values are: Only the best We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence. Ownership We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes. Relentlessly improve We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI. Bias for action Our world moves quickly and so do we. We take calculated risks and we deliver impact fast. Disagree and commit We are all working toward the same goal. If we don't agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all. Build for people We want the world to enjoy the experiences they have with us. We are building for a future that prefers automation. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Kindly find the Privacy Notice for our recruitment process by following the link here . This document provides important information regarding how we handle your personal data throughout the recruitment journey.

Welcome to Crosby, the next-generation law company! We're a team of technologists and legal experts collaborating closely to reimagine corporate legal services from the ground up. We build proprietary technology and human in the loop workflows to radically enhance the lawyer machine relationship. Our mission is to review complex documents faster than ever and with perfect quality Crosby was founded by Ryan (Penn, Stanford Law, ex Cooley, former GC) and John (Penn M&T, ex Ramp, ex Google). We believe: • A great legal system is the watermark of a great society., • Legal work is an art and science. We want to discover the frontier between the two and codify the scientific parts, which is a magnificent puzzle., • Selling work, not software, is the best way to realize the productivity gains of GenAI for professional services., • In an in-person culture at our NYC office. The Role:, • As an Engineer, you'll have the unique opportunity to define and build the core technology stack that powers Crosby's platform. You'll work across the stack, building the robust back-end systems and tooling interfaces needed to deliver on our vision., • In this role, you'll collaborate directly with the founders, define technical priorities, and ensure the scalability of our platform. You'll have a direct impact on our product and user experience as we create tools to make contract review faster and more efficient. What You'll Do:, • Design and implement scalable systems to process contracts at scale., • Build bleeding-edge agentic AI tools to help the Crosby Legal team review contracts faster., • Work closely with the founders and cross-functional teams to define and execute on technical priorities., • Establish the foundation for a robust and maintainable codebase as we grow., • Mentor and recruit engineers to help build out the team. What We're Looking For:, • Experience: 3+ years of engineering experience, ideally including Python, TypeScript., • Problem-focused: Strong sense of the problem behind a problem, and attention to detail in delivering high-quality products., • Builder mindset: Excited about the opportunity to create and scale systems from the ground up., • Collaborative: Effective communicator who thrives in cross-disciplinary teams., • Ownership: Driven to take responsibility for projects from ideation through execution., • Curiosity: Passionate about learning and experimenting with new technologies. Ideal Qualifications:, • Strong Python, TypeScript skill set, • Strong experience with NLP, LLMs, RL, and Information Theory., • Experience with modern front-end frameworks (e.g., React, Vue, or Svelte). Why Work at Crosby Legal:, • Competitive salary and equity compensation., • Comprehensive health, dental, and vision insurance., • Unlimited PTO, • In-person team in NYC with a collaborative, high-energy environment. Apply now to join Crosby and be part of transforming the legal landscape. Note: Crosby is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Pursuant to New York Labor Law Section 194-b, US Pay Range is $170,000 - $250,000 which represents the base salary we reasonably expect to pay for this position at the time of this posting. Final compensation will be determined based on skills, experience, and qualifications.

• Lead the strategic alignment of all survey research, program evaluation, and assessment activities with institutional goals and strategic objectives., • Oversee the entire lifecycle of course evaluations, leveraging data analytics to enhance the institution's ongoing commitment to teaching and learning excellence and to support faculty development., • Oversee institution survey initiatives, including complex sampling designs and advanced computational methodologies, to ensure high-quality data collection, comprehensive analysis, and compliance with ethical standards., • Synthesize evaluation and assessment data into actionable insights and create customized reports and dashboards for informed decision-making., • Establish Program Evaluation and Assessment Center as a national leader, and support faculty in securing grant proposals., • Serve as PI/Co-PI for grants, manage all phases of research, and leverage the center to expand funding and research opportunities., • Collaborate in the writing and preparation of grant proposals for externally funded research projects., • Oversee staff and budget allocation, develop a high-performing research team, and optimize the use of personnel and technology., • Cultivate strong relationships with internal and external stakeholders. Develop cross-institution and multidisciplinary partnerships, enhance research capabilities., • Lead process optimization and integrate advanced technologies to enhance survey research efficiency and accuracy. Stay ahead in survey technologies and methodologies, using innovative tools to improve response rates through centralized management, respondent analytics, advanced sampling, and optimized scheduling., • Provide training and serve as a thought leader within the university, sharing expertise in survey research, program evaluation, and grant management with faculty and staff through workshops, seminars, and one-on-one consultations. Requires a Master's degree in Higher Education and 3 years of experience in the job offered or 3 years of experience as a Associate Director for Survey Research or any other job title performing the following job duties:, • Oversee surveys related to community, using Sogolytics to manage institution survey projects., • Design and administer questionnaires, manage data pools, and coordinate effective sampling methodologies for internal surveys., • Administer and manage course evaluations using Explorance Blue, ensuring the successful rollout, testing, and reporting of course evaluation projects across the academic year., • Coordinate Course Evaluation related data loading from multiple enterprise systems like Cognos, Banner, and Oracle SQL databases, ensuring seamless integration across platforms., • Prepare and verify course evaluation reports to support high-stakes decision-making., • Develop and distribute reports to senior leadership using PowerBI or MicroStrategy and Streamlit, creating user-friendly dashboards that facilitate data-driven decisions., • Leveraging data analysis tools, for example SPSS, STATA, R, Python, to perform quantitative and qualitative analysis., • Manage and maintain university organizational charts using EDRAW., • Communicate survey results through survey websites using HTML and DRUPAL, ensuring optimal performance, security, and user accessibility., • Lead the application of NLP techniques to analyze qualitative survey responses, transforming unstructured data into valuable insights., • Demonstrate expertise in accessing, managing, and handling complex data sampling (e.g., stratified, cluster, multi-stage) from large national databases (e.g., IPEDS, NCES, NESC, SIPP, and the U.S. Census, etc.) and managing national benchmark survey (e.g., NSSE, etc.)

Job Description Scala Engineer - AI/NLP startup NYC up to $200k If you are craving to learn something new every day while working at the cutting edge of AI, we could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious Scala engineer as core employee to help build complex AI/NLP models supporting our AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! Responsibilities • Design and implement complex software systems using Scala and related technologies such ZIO., • Collaborate with other team members to design and develop efficient algorithms, • Write clear, efficient, and maintainable code with a focus on scalability, fault tolerance, and performance, • Troubleshoot and resolve software bugs and issues in a timely manner, • Develop and maintain automated tests to ensure the quality of code, • Participate in code reviews to maintain code standards and ensure high-quality work, • Stay up-to-date with emerging trends and technologies in software engineering and make recommendations for future development efforts Requirements • Bachelor's degree in Computer Science or a related field, • At least 3 years of professional experience in Scala development, • Experience with Scala frameworks such as ZIO, Cats, etc., • Familiarity with distributed computing and message queuing systems, • Strong understanding of functional programming concepts and software design principles, • Proficiency with database systems like MySQL, PostgreSQL, etc., • Excellent analytical and problem-solving skills Please send resume to:

John Snow Labs US-Based Healthcare Data Scientist Contract John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Build data science and data engineering pipelines specific to analyzing clinical data, suc

Strong ownership and communication skills, with the ability to effectively collaborate with team members and stakeholders. Experience in collaborating on small POCs (Proof of Concepts) with other engineers. Familiarity with GenAI, NLP (Natural Language Processing).

Job Description At Trunk Tools, we’re the leading AI company revolutionizing construction, the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-tier investors including Redpoint and Innovation Endeavors. This new round is fueling our next phase of growth as we scale AI agents across the jobsite. Our mission is to build the future of construction through intelligent automation. Despite being a $13+ trillion industry, construction still runs largely on analog processes, we’re changing that by embedding AI directly into field operations. Founded by builders and technologists (Stanford, MIT), our team has delivered software used by over 140,000 field professionals, impacting millions of users and contributing to $10B+ in built projects. Many of us come from the field ourselves, giving us a deep understanding of the industry’s unique challenges. After years of building the “brain” of construction, we’re now launching production-ready AI agents, starting with intelligent document processing and Q&A, and rapidly expanding into core operational workflows. Our team has doubled in the past year, and with 65+ employees (25+ engineers), we’re scaling fast and entering a period of hypergrowth. This is a rare opportunity to join at an inflection point. What you will do and achieve: * Enhance our search capabilities through advanced NLP techniques * Process and analyze a diverse set of documents including text, tables and images * Design and implement entity extraction and text classification systems * Identify and model relationships between entities within and across different document types * Design and implement an efficient indexing structure to enable accurate and fast search capabilities * Design and conduct experiments to evaluate and improve NLP model performance * Develop and maintain language models tailored to the construction industry domain Who you are: * MS/PhD in Computer Science, Computational Linguistics, Information Retrieval or a related field * 2+ years of experience in NLP, with a focus on building production-ready systems * Proficiency in Python, ML and experience with NLP libraries such as NLTK, spaCy, or Hugging Face Transformers * Strong experience with information retrieval and search technologies, such as elasticsearch, graph databases, or vector embeddings * Familiarity with LLM-based applications and RAG systems in real-world scenarios * Interest in the construction industry * Bonus: Experience with training or fine-tuning proprietary algorithms * Bonus: Experience with developing complex agentic LLM applications What we offer 🎖️ A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters 💰 Competitive salary and stock option equity packages 🏥 4 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance! 🤓 Learning & Growth stipend 🏠 Flexible long-term work options (remote and hybrid) 🥨 Free lunch provided in the office in NYC & Austin - you’ll never go hungry with us! 🛫 Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation 🏝 IRL / In-Person retreats throughout the year Please note: All official communication from Trunk Tools will come from an email address ending in @trunk.tools. If you receive outreach from any other domain, please disregard it or report it to us. At Trunk Tools, we’re working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class. Compensation Range: $185K - $245K

Job Description We are currently seeking a highly skilled and experienced Test Automation Manager. As the Test Automation Manager, you will be responsible for leading and managing our automation testing efforts. Your extensive experience in automation testing, along with your proficiency in various automation tools and frameworks, will be essential in ensuring the quality and efficiency of our software testing processes. Responsibilities: • Lead and manage the test automation team, providing guidance and support in implementing effective automation strategies., • Design, develop, and maintain automation frameworks and test scripts using Selenium, UFT / QTP, Botium Testing tool, C#, Chatbot Testing, ComputerVision Testing, Cypress, Katalon, MBT, ML/NLP Testing, PTF, RPA Testing, SAP Worksoft, Service Now, Talos, Test complete, Tosca, UFT, Voice bot/IVR Testing, Automation Testing - UFT / QTP, Botium Testing tool, Chatbot Testing, ComputerVision Testing, Java Script, JDBC, JIRA Administrator - Testing, ML/NLP Testing, Model based testing (MBT), PS Testing, Rest Assured, RPA Testing, SOAP UI, Voice bot/IVR Testing, Web services Testing-SOAP UI., • Utilize your expertise in Karate framework to build and enhance automation testing capabilities., • Collaborate with cross-functional teams to analyze software requirements and design test cases accordingly., • Drive the adoption of best software engineering practices including CI/CD and automated testing., • Stay updated with the latest advancements in automation testing tools and platforms., • Provide leadership in innovation and adoption of leading test platforms/solutions., • Train and mentor team members on automation testing best practices., • 8-12 years of experience in automated testing, with at least 5 years focused specifically on automation testing., • Proficiency in building automation frameworks and writing automation test scripts using Java., • Strong understanding of Java/J2EE development to design, implement, and triage defects or issues., • Expertise in Karate framework is mandatory., • Familiarity with leading tools such as Maven, Jenkins, Bitbucket/Git Repos., • Proven ability to build automation testing frameworks from scratch using tools like Karate, Selenium, Cucumber, Rest Assured, etc., • Solid understanding of good software engineering practices including CI/CD and automated testing., • Excellent problem-solving skills and attention to detail.

Job Description Are you ready to join an amazing team and make a significant impact on the future of decision-making? Verneek is a deep-tech AI startup that is on a mission to build the most helpful AI experiences in the consumer space. We believe that AI can truly augment knowledge and provide valuable insights to everyone, anywhere, at any time. Join us and be at the cutting edge of the AI revolution! If you are tired of working on mundane projects and want to be part of a fast-paced startup where you can learn, innovate, and contribute every single day, Verneek is the perfect opportunity for you. As a fullstack engineer, you will play a crucial role in building complex AI and NLP models to support our AI platform. At Verneek, you will have the opportunity to work on unique, complex, and socially impactful problems. As an early-stage startup, there are no legacy obstacles holding us back, and your contributions will have a direct impact on the success of the company. RESPONSIBILITIES MINIMUM QUALIFICATIONS • 3+ years of experience in building high-performance applications, • Strong proficiency in TypeScript, • Strong proficiency in React, • Familiar with React Native, • Knack for getting the visuals right, • Strong proficiency in NextJS, • Experience with front-end testing frameworks (e.g., Jest, Cypress) is a plus., • Portfolio of prior projects with a complex backend, • 4+ years of experience in designing, implementing, and maintaining complex software, • Good grasp of computer science fundamentals, including algorithms, • Experience with machine learning systems and working with AI teams, • Experience with WYSIWYG editors Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Career growth support through sponsoring learning opportunities and mentorship Salary range: 80K-140K

Core Skills & Technologies NLP and LLM Expertise: Profound knowledge of NLP and transformer models including LLMs (e. Working with Large Language Models (LLMs) and the latest NLP technologies, your role will be pivotal in project success and delivering client-focused AI solutions. Attend client meet

A technology company is looking for a Data Scientist who will apply statistical modeling and machine learning to solve complex problems such as predicting job match quality and detecting ghost jobs.

A healthcare technology company is seeking a Machine Learning Engineer to develop AI-driven solutions.This role entails designing and implementing ML systems for various applications, including document understanding and AI integration.Candidates should have relevant educational backgrounds and expe

Master's or PhD in AI, ML, NLP, or a related field, and 2+ years of industry experience working with LLMs, AI model optimization, and NLP pipelines. Experience with agentic AI workflows and chatbot-style LLM interactions. AI/ML: Python, LLM APIs (OpenAI, Anthropic, etc.

Job Description At Palona, the Forward Deployed Engineer is a new kind of builder—born from the era of adaptive, multimodal AI systems. This role sits at the intersection of engineering, customer partnership, and real-world operations. You’ll work directly with operators in one of the most dynamic industries in the world and help guide AI agents that learn and evolve alongside them. If you’re the type of person who loves both systems and people, who’s energized by real-world complexity, and who wants your work to have immediate impact in live environments, this is your path. Responsibilities As a Forward Deployed Engineer, you’ll be the connective tissue between our product, our customers, and the AI agents we deploy into the field. You will: • Partner deeply with operators and customers to understand how the business actually runs, uncover real-world workflows, and translate them into system behavior., • Scope, design, and deploy adaptive AI agents that evolve with the customer’s environment—not static models, but living systems that improve through interaction., • Build and integrate production-ready applications that connect Palona’s AI platform to customer infrastructure., • Develop demos, prototypes, and workflows that show how adaptive agents solve real operational problems., • Debug edge cases in the wild and convert observations from real deployments into product intelligence and system improvements., • Ensure reliability, safety, and performance of AI agents operating in fast-moving, operationally intense environments. Requirements Required • Strong full-stack development skills (Python, JavaScript, or similar), • Experience in customer-facing or client delivery roles, • Ability to thrive in fast-moving, resource-constrained, startup-style environments, • Fast learner capable of adapting to new tools, domains, and requirements, • High ownership mindset with the ability to work independently and follow problems end-to-end, • Excellent communication with technical and non-technical stakeholdersPreferred, • Deploying LLMs, multimodal models, or generative AI systems, • Background in NLP, computer vision, or multi-agent systems, • Sales engineering, pre-sales, or customer success engineering in high-growth environments, • Experience working in domains with heavy operational complexity (hospitality, logistics, retail, etc.), • Curiosity and empathy to explore both the technology and hospitality, • Technical fluency to diagnose, build, and refine systems, • Clear communication across both technical and non-technical teams, • Adaptability in environments where requirements shift weekly, • Ownership to take problems from discovery to deployment

Job Description • Role: Senior Data Scientist, • Location: New York City, • Type: Hybrid Position Summary Our client is looking for a Data Scientist who will play a crucial role in providing analytics and data science support to a client within our Sports, Media and Entertainment practice. The primary responsibility of this role is to leverage your expertise in analytics, data science, machine learning and AI to empower the client in making informed business decisions. You will work with a dynamic team and will have true ownership and impact over developing analytics solutions and data products for the stakeholders. If you're a passionate sports fan who understands both the emotional and commercial dynamics of the industry - and you thrive in fast paced, collaborative environments, we'd love to connect. Responsibilities: • Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions., • Design and build end to end machine learning solutions and statistical frameworks across fan behavior., • Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning, • Lead recurring analytical programs with a focus on reproducibility and automation., • Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products., • Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making., • Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions., • Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact., • Bachelor's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas, • 2+ years of hands-on experience in a data science role with a track record of shipping models into production., • Extremely proficient in SQL for robust data extraction and analysis., • Strong programming skills in Python., • Familiarity with Git and code/data version control., • Solid statistical foundation, • Exposure to NLP techniques for processing unstructured survey data., • Excellent communication, problem-solving, and critical thinking skills., • Self-started and willingness to take on challenging initiatives, • Effective time management and attention to detail, • Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics)., • 4-5 years experience, • Industry experience in Sports or Media., • Familiarity with additional data analysis and visualization tools., • Advanced statistical analysis and modeling skills., • Familiarity with data science governance practices

Job DescriptionSalary: 110,000-150,000 Senior Backend Developer/Senior Software Engineer We are looking for an experienced back-end developerto lead a greenfield project involving ML and NLP driven workflow automation tools. The ideal candidate would have experience working with large Python and Typescript codebases. We are looking for someone who is self-motivated and is able to work with a team early on in a project, plan and identify requirements, see a project through to completion, and mentor junior members of the team along the way. About thelab Were an agency of makers with deep expertise in solving creative and technology challenges. Our focus is on making better work to help brands work better. From branding & design, to software builds, large-scale ecommerce or anything in between, thelab mixes inspiration and hard work to produce results that mean business. Oh, and we host a mean barbecue too. We will be An awesome place for you to grow and learn. We stay open-minded about ideas and make sure our technology is always up-to-date, because we believe the best work gets made when we evolve our skills together. thelab is large enough to get an amazing variety of work, but small enough to stay flexible and work with smaller brands and startups toowe even have a few products of our own. Youll work on a lot of different kinds of projects, and youll do it with reasonable timelines, surrounded by an inclusive community who wants to see you succeed (no brogrammers, please!). And youll generally finish your day with plenty of time left over to meet your friends for a drinkor grab one with your new team. What our interview process looks like: • Well schedule an initial phone interview so we can get to know you, answer any questions you may have, and see if we might be a good fit for you and vice versa., • From there, wed want to bring you in for a second-round interview and would email you details about a general architectural problem beforehand., • At the second round interview, were looking to understand your thinking processnot your knowledge of algorithms. Thats why we wont be asking you to do whiteboard problems, but instead, well ask you to explain your high-level approach to the architectural problem we shared, articulating it to both an experienced and junior dev. You are • A team player who thrives in a collaborative environmentno lone wolf mentalities!, • Experienced in leading teams and mentoring people, • Not afraid to fail and always looking to learn from those failures, • Able to understand different approaches and comfortable learning/using both newer and older tech when its a better fit, • Develop server-side functionality in Python and Typescript, • Deploy and manage web services using Linux, Docker, Kubernetes, AWS, Terraform, and Ansible, • Manage multiple projects and deliverables occurring concurrently during a sprint, • Implementation of backend functionality on Django e-commerce websites as well as a few microservices in Django, Flask, and Node, • Eager to help front-end with architecture designs. At least some JavaScript/Typescript experience, • Comfortable supporting frontend team. Not afraid to get involved with Typescript when needed., • Comfortable sharing code between projects with open source and private modules, • Able to manage multiple projects and deliverables occurring concurrently during a sprint, • Experienced in best practices like git-flow and test-driven development, • Looking to work on a diverse team because you enjoy hearing different opinions and ideas Nice to haves (Not required) • JavaScript framework (React, Next.js, Angular, etc) and Node experience, • Experience working in open source community and contributing changes, • Experience in e-commerce Skills Django, Python, Typescript, Node, Docker, Kubernetes, Linux Job Details: Hybrid - Tues-Thurs in NY Office Salary - $110,000-150,000 per year, plus health/dental benefits, 401k match, unlimited time off and lots of snacks

Job Description COMPANY: Canoe Intelligence WEBSITE: TITLE: Sr. Machine Learning Engineer LOCATION: New York City or London (hybrid) / Fully Remote in the United States or United Kingdom SALARY: $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data. What You’ll Do: * Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. * Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. * Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. * Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. * Contribute to Canoe’s MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. * Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. * Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe’s technology stack. * Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We’re Looking For: * Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. * Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). * Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). * Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. * Problem-solver with a product mindset and bias toward outcomes. * Excellent communication skills; able to partner across engineering, product, and business teams. * Comfortable in fast-paced, agile startup environments. * Bachelor’s degree in computer science or related field. Preferred * Master Degree or PhD in computer science or related field * Experience in training and deploying large language models. * Familiarity with cloud computing platforms and distributed computing. * Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. * Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). * What You’ll Get: * Medical, dental, vision benefits * Flexible PTO * 401(k) * Flexible work from home policy * Home office stipend * Employee Assistance Program * Gym/Wifi reimbursement * Education assistance * Parental Leave Our Values: * Client First —> Listen, and deliver client-centric solutions * Be An Owner —> Take initiative, improve situations, drive positive outcomes * Excellence —> Always set the highest standard for yourself and others * Win Together —> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Experience working with NLP and Machine Learning.Expert experience working with GenAI and LLM tools (i.Tangible experience working with ETL, relational databases, NoSQL or MongoDB.Worked on Vertex AI and good experience on Voice AI conversation.Posting Date 03/26/2024, 03:23 PM.

A healthcare technology company in Jersey City is seeking Senior Machine Learning / Software engineers to design, build, and deploy scalable ML systems for biomedical information processing.This role demands strong knowledge in machine learning and software engineering best practices.The ideal candi

A leading workforce intelligence company in New York City is seeking a Senior Data Scientist to join their team.

This is a fully remote position, suited for individuals who thrive in fast-paced startups.

Senior Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: * Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 2 years' experience in Python, Scala, or R * At least 2 years' experience with machine learning * At least 2 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science San Jose, CA: $148,000 - $168,900 for Sr Assoc, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

SynergisticIT Job Opportunities Since 2010 Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job we make careers. All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab s etc to name a few. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry. We assist in filing for STEM extension and also for H1b and green card filing to candidates. We regularly interact with the top tech companies to give our candidates a competitive advantage. Please see us exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023. For preparing for interviews please visit. We are looking for the right matching candidates for our clients. Please apply via the job posting. Required skills for Java/full stack/software programmer: • Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, • Highly motivated, self-learner, and technically inquisitive, • Experience in programming language Java and understanding of the software development life cycle, • Project work on the skills, • Knowledge of core Java, javascript, C++ or software programming, • Spring boot, microservices, Docker, Jenkins and REST API's experience, • Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, • Project work on the technologies needed, • Highly motivated, self-learner, and technically inquisitive, • Experience in programming language Java and understanding of the software development life cycle, • Knowledge of statistics, SAS, Python, computer vision, data visualization tools If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

We are seeking a Tech Lead with hands-on experience in Python, Natural Language Processing (NLP) and Chatbot development to support technology initiatives within Wealth Management business. Provide thought leadership on backend, NLP, and conversational AI solutions and identify opportunities where t

We are seeking a Tech Lead with hands-on experience in Python, Natural Language Processing (NLP) and Chatbot development to support technology initiatives within Wealth Management business. Provide thought leadership on backend, NLP, and conversational AI solutions and identify opportunities where t

Principal Associate, Data Scientist - NLP. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from des

Minimum 10 years of experience in Programming:.Minimum 5 years of experience in AI/ML/NLP: LangChain, LangGraph, LlamaIndex, NLP models, RAG vector databases, model deployment.Minimum 7 years of experience with Database: Oracle SQL/PL-SQL, ER design, query optimization.Minimum 7 years of experience

Requisition ID P tracker ID HM Location Skill Level MOR4JP00023628 1387644 Cameron Tennock Bangalore Chatbot, Conversational AI Engineer Level 3 Summary: The Application Infrastructure team is seeking a motivated Chatbot / Conversational AI Engineer to join the Chatbot team. A successful candidate will participate in all aspects of software development, working directly with chatbot experts, other developers and engineers within the team, and our internal clients who wish to adopt chatbot solutions as part of technology service delivery. Job Responsibilities • Act as a subject matter expert on the chatbot platform, • Develop integrations in Python and Groovy that enable virtual agents to interoperate with various systems, • Participate in every phase of the Software Development Lifecycle, • Create Generative Artificial Intelligence solutions and drive their adoption, • Understand, refine, and translate customer requirements into working software, • Create and enhance various utilities that support the chatbot platform, • Lead design and code reviews, • Work closely with a global team of engineers, SREs, and conversational AI experts, • Identify automation opportunities and lead the way in addressing them, • Train and refine intent detection models, • Continuous Improvement of production virtual agents, • Measure, demonstrate, and articulate the value of Artificial Intelligence solutions and automation#, • Support POCs and product demonstrations QUALIFICATIONS Primary Skill: • Strong knowledge of software design and best practices, • Deep experience with Python coding and development, • Experience with JavaScript and Node.js and other software development frameworks and libraries, • Demonstrated knowledge and interest in Generative Artificial Intelligence / LLMs, model training, fine tuning and related APIs, • Familiarity with CI/CD practices and experience with GitHub and Jenkins, • Excellent written and verbal communication skills, • Deep experience with Agile development practices such as Scrum, • Strong background in Linux, • Solid understanding of NLP and Artificial Intelligence / Machine Learning concepts You might also have: • Experience designing, creating, and interfacing with Virtual Agents using Amelia, Kore.ai, Microsoft Copilot Studio or similar platform, • Sourcing and labeling training data for ML models, • Experience in generative Artificial Intelligence, and LLMs, • Familiarity with DevOps practices, • Knowledge of Docker, Kubernetes, • Experience with cloud platforms such as AWS and Azure Team Profile: Enterprise Technology & Services (ETS) delivers shared technology services for the Firm supporting all business applications and end users. ETS provides capabilities for all stages of the Firm's software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of our employees. Application and end user services are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database services. Within ETS, the Chatbot Team in Application Infrastructure provides a scalable Natural Language Understanding platform for designing and building virtual agent solutions that can be adapted to a variety of technology services.

We regularly interact with the Top Tech companies to give our candidates a competitive advantage visit the below videos exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023. Preferred skills: NLP, Text mining, Tableau, PowerBI, D

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

Job DescriptionWhat We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure. Role at a Glance As an AI Focused Software Engineer, you will build and evolve the data backbone of an agentic AI system leveraging document intelligence, time-series IoT data, and customer activity logs. This is a highly hands-on, end-to-end role for someone who thrives in early-stage ambiguity, is comfortable working close to models and customers, and wants to directly shape how data-driven agents are built and deployed for production. This role will initially focus on the power industry, where your work will directly support the reliable operation of power plants used by millions of people every day. What you will do You will design, implement, and agentic systems across the full lifecycle, from data ingestion and processing to building and tuning models for use by customers in the real world. You’ll work directly with customers and internal stakeholders to understand real problems, translate them into technical solutions, and iterate quickly. You’ll build agentic workflows, document processing pipelines, and sensor data ingestion. You’ll contribute to feature engineering and model experimentation when needed, and own systems in production. You’ll make pragmatic architectural decisions, improve reliability over time, and help define best practices as the team and product scale. Technologies We Use * Python, React * Cloud-native data and GenAI tooling (GCP, VertexAI, etc) * Streaming and messaging systems * Distributed processing frameworks * Data warehouses, lakes, and object storage * Time-series and NoSQL databases * ML and AI tooling (feature stores, vector databases, model pipelines) * Docker, Kubernetes, and infrastructure-as-code tools About You You’re a builder who likes owning problems end to end—from understanding customer needs to shipping and maintaining production systems. You’re comfortable crossing boundaries between software engineering, ML, and backend work, and you’re energized by fast feedback loops and real-world impact. You prefer pragmatic solutions over perfect ones, communicate clearly with technical and non-technical stakeholders, and enjoy helping shape both the product and the engineering culture. Required Skills * 7+ years of experience in software engineering, backend engineering, or adjacent roles * Strong Python skills, proficient with ML packages and distributed backends * Experience building production data pipelines and systems from scratch * Comfort working with both structured and unstructured data * Experience operating systems in production and owning reliability * Ability to work directly with customers or end users to understand requirements * Strong problem-solving skills in ambiguous, fast-moving environments Preferred Skills * Experience with agentic AI systems or similar orchestration frameworks for enterprise-grade reasoning and/or automation * Experience with document processing, NLP, or vector search * Experience with time-series or IoT data * Startup or early-stage product experience * Experience making architectural tradeoffs under real-world constraints Who We Are At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact. Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you. Compensation Range: $140K - $245K

Job Description Do you want to be part of the core team that is building the next one-of-a-kind tech companies that can potentially change your career's trajectory?! We are striving to build the future of AI for consumer enterprises, and our founders need your help as we are growing. Come join us and leave your mark! Our founders are looking for a highly ambitious and highly technical Head of Technology to lead the strategy, development, and integration of AI systems across all layers of the AI stack. This senior executive role requires deep technical expertise in both AI/ML and full-stack development, combined with strong leadership, strategic vision, and business acumen. They are familiar with startup environments and bridge the gap between technical teams and business stakeholders to drive innovation and deliver robust, scalable, and ethical AI-powered products. RESPONSIBILITIES • Hands-on Technical Implementation, Architecting, and Oversight, • Design and implement end-to-end systems: Guide and implement the AI-Native platform of Verneek, as well as its solution suite, fullstack: from backend infrastructure to data ingestion, model training and inference, to front-end interfaces and applications., • Architect scalable solutions: Ensure the development of robust, scalable, secure, and maintainable full-stack systems that can deploy and run AI models in production at scale., • Evaluate and select technology: Assess and recommend the use of appropriate AI frameworks (e.g., PyTorch, TensorFlow), cloud platforms (e.g., AWS, Azure), and other tools and vendors., • Enforce best practices: Drive and enforce coding standards, technical architecture patterns (e.g., microservices), and quality control mechanisms., • Strategic leadership and overall vision, • Define and execute the technology strategy: Set the vision, roadmap, and strategic priorities for how Verneek’s fullstack technologies will create business value, improve products, and drive operational efficiency., • Align with business objectives: Collaborate with senior leadership and product teams to translate business needs into technical specifications and viable AI solutions., • Team leadership and management, • Manage projects: Oversee project planning, resource allocation, and budget management to ensure successful, on-time, and high-quality delivery., • Build and mentor teams: Recruit, develop, and manage high-performing teams of Software/AI/ML engineers, full-stack developers, and MLOps specialists, and beyond., • Foster a culture of innovation while delivering quickly: Encourage experimentation, continuous learning, and adaptability to emerging technologies and trends. Requirements • Advanced hands-on technical expertise: Demonstrated hands-on expertise in both AI/ML engineering (including LLMs, computer vision, NLP, etc.) and modern full-stack development as an individual contributor., • Experience with cloud and MLOps: Proficiency with cloud environments (AWS, GCP, Azure) and scaling MLOps for model training, deployment, inference, and monitoring., • Leadership experience: Proven track record of leading and managing engineering or AI/ML teams., • Strategic thinking: Ability to develop a long-term technical vision and align it with overall product and business strategy., • Excellent internal and external communication: The ability to communicate complex technical concepts to both technical and non-technical audiences, including executive leadership and Verneek partners., • Startup Experience:. Prior track record of having helped built series of technologies at a deeply technical startup. MINIMUM QUALIFICATIONS • Bachelor’s Degree in CS/CE/AI other technical fields, • Work authorization in the USA at the time of hire At Verneek, we are very determined to build a company that promotes diversity of thought that comes from the diversity of the individuals on the team! Candidates from any gender identity, race, color, religion, sexual orientation, national origin, veteran, or disability status are highly encouraged to apply. Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: [tbd]

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious ML engineer as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • BSc. degree in Computer Science or related fields, • 3+ years of experience with Python, • 3+ years hands-on experience developing architectures with machine learning frameworks such as PyTorch, • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • MSc. degree in Computer Science or related fields, • Experience in Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data, • Experience with building models in the commerce/retail domain Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

Job DescriptionCompany Description Accel Learning is a New Jersey-based tutoring and test-prep center serving 3,000+ students across K–12 and beyond. We prepare students for some of the most competitive exams in the country - SAT, ACT, ISEE, BCA, SSAT, HSPT, GRE, GMAT, Regents, NJSLA, OLSAT, SCAT, TerraNova, Praxis, PSEG, Math Olympiad, AMC, MathCounts, and more. Our Mission: Make rigorous, personalized learning accessible. Today our instructors build question banks manually in WordPress. We're changing that by building an AI-powered question generation engine that creates exam-ready, curriculum-aligned questions at scale. Job Description You will architect and implement the core AI pipeline that powers Accel's test creation system. • Work closely with the founder to design and build an AI-powered content generation system from the ground up. You'll contribute to meaningful parts of the product end-to-end from how the system ingests and understands source material, to how it produces and validates outputs, to how instructors interact with and review what the system generates., • On the engineering side, you'll build and iterate on LLM-driven pipelines, work with retrieval and embedding techniques to ground outputs in real source material and develop backend services and APIs that tie everything together., • Beyond pure coding, you'll be expected to think about output quality and building evaluation steps, catching failure modes, and improving the system based on real instructor feedback. You'll research new tools and techniques as the AI space evolves and bring relevant ideas directly into the product., • Strong foundation in software engineering: data structures, APIs, system design, • Proficiency in Python (primary language for AI/ML pipeline work), • Experience with REST APIs and at least one database (PostgreSQL preferred), • Ability to work independently, ask sharp questions, and iterate fast, • Strong debugging and problem-solving instincts, • Demonstrated side projects or shipped code (GitHub portfolio required), • Genuine interest in AI systems and education technology, • Direct experience with LLM APIs: OpenAI, Anthropic Claude, or Google Gemini, • Experience with NLP pipelines: text chunking, tokenization, semantic search, • Knowledge of LaTeX syntax and math rendering libraries (MathJax, KaTeX), • Experience with image generation APIs or SVG programmatic generation, • Familiarity with AI evaluation frameworks or automated test harnesses for LLM outputs, • Cloud platform experience: AWS, GCP, or Vercel for deployment, • Experience with job queues: Celery, Bull, or similar, • Exposure to educational content standards or psychometrics is a bonus Additional Information All your information will be kept confidential according to EEO guidelines.

Team Description**AI Foundations LLM Customization team is at the center of bringing our vision for LLMs and GenAI at Capital One to life. Principal Associate, Data Scientist - LLM Customization TeamAt Capital One, we think big and do big things. Be the expert in Natural Language Processing (NLP) to

Job Description Founded in 2009, EDETEK is a global leader in clinical technology and services, delivering high-quality, AI-powered platforms and solutions to pharmaceutical, biotechnology, and medical device companies. With a presence across four continents and a client base of over 100 biopharmaceutical companies, EDETEK is transforming clinical development through cloud-native technologies, intelligent data management, and automation. Our platforms are built for scalability, interoperability, and compliance. The Director of AI will lead the development and implementation of AI strategies to enhance clinical development processes. This role is responsible for architecting scalable AI solutions, guiding technical execution, and driving innovation across EDETEK’s AI product portfolio. The ideal candidate will have deep expertise in AI and clinical development for life sciences companies, with a strong background in machine learning, data science, and enterprise AI systems. This role requires a dynamic leader who thrives in a fast-paced, startup-like environment and can translate business goals into impactful AI solutions. Essential Functions and Responsibilities 1. AI Strategy & Leadership • Define and execute the AI vision aligned with EDETEK’s strategic goals., • Lead cross-functional teams to deliver AI-driven capabilities across clinical development., • Provide technical leadership and mentorship across the AI engineering team., • Inform and deliver on ambitious product roadmaps to accelerate growth. 2. AI Architecture & Development • Architect and build scalable AI infrastructure and solutions to support business growth., • Oversee model training, optimization, and deployment of end-to-end ML models., • Define best practices for AI/ML lifecycle management and governance., • Ensure compliance with industry standards and regulatory frameworks. 3. Collaboration & Stakeholder Engagement • Collaborate with stakeholders to translate business goals into technical solutions., • Partner with engineering, product, and clinical teams to integrate AI into platform capabilities., • Communicate AI strategy and progress to executive leadership and external partners. 4. Innovation & Technical Execution • Lead initiatives in advanced AI domains including transfer learning, generative models, and reinforcement learning., • Drive the development of enterprise knowledge management systems, NLP frameworks, and semantic data integration., • Master’s degree in Engineering, Computer Science, or a related quantitative field; advanced degree preferred., • 6+ years of hands-on experience in clinical trials and clinical development., • 3+ years of experience building and deploying AI/ML solutions and products., • Strong background in AI/ML fundamentals and software development., • Experience with modern databases, cloud environments, and data ecosystems., • Proven success in leading large-scale projects with multiple stakeholders., • Ability to thrive in a startup-mode environment and manage change effectively., • Excellent communication and interpersonal skills. Preferred Qualifications, • Expertise in transfer learning, unsupervised feature generation, meta-learning, generative text models, reinforcement learning, and Agentic AI., • Proficient in deep programming and production-grade AI implementation., • Experience designing enterprise knowledge systems, semantic web frameworks (RDF, OWL, SPARQL), and healthcare classification systems (SNOMED CT, CDISC, MeSH)., • Advanced data science and mathematical skills (e.g., PhD in computational modeling, machine learning, statistics, computer science). Why Join EDETEK?, • Opportunity to lead and innovate in a dynamic and growing company., • Collaborative and inclusive work environment., • Competitive salary and benefits package. Benefits vary by country, but remain competitive. Below is a sample of the benefits offered to U.S. employees. • Choice of comprehensive Medical, Vision and Dental Insurance plans, • Paid vacation time and sick days, • Corporate holidays annually, • Participation in the 401K Plan, • Comprehensive perks and discount programs for AAA, wholesale, insurance, Rx, fitness, pets, entertainment, etc.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

A leading financial technology firm is seeking a Data Scientist to innovate within their mobile app, utilizing machine learning technologies to deliver personalized user experiences.You will collaborate with cross-functional teams to develop AI-powered solutions that enhance customer interactions.Ca

A leading global financial institution is seeking a Machine Learning Specialist to research and develop advanced models, specifically in Generative AI.In this role, you will collaborate closely with various teams to effectively deploy solutions and enhance the company's analytics journey.Candidates

At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed.We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees.The Chief Data & Analytics Office (CDAO) accelerates our da

Job Description At ChatBotz.ai, we are seeking a highly skilled and motivated Tech Lead to join our innovative team. As a Tech Lead - Conversational AI, you will play a crucial role in developing and implementing intelligent chatbot solutions that revolutionize businesses. Responsibilities: • Lead the development and implementation of conversational AI solutions using cutting-edge technologies., • Collaborate with cross-functional teams to gather requirements and define project goals., • Design, develop, test, and deploy highly scalable and reliable chatbot solutions., • Ensure the quality, performance, and security of the chatbot applications., • Stay updated with the latest advancements in conversational AI technologies and integrate them into our solutions., • Provide technical guidance and mentorship to the development team., • Conduct code reviews and ensure adherence to coding best practices and standards., • Troubleshoot and resolve technical issues related to chatbot applications., • Collaborate with stakeholders to define project timelines, deliverables, and milestones., • Bachelor's degree in Computer Science, Engineering, or a related field., • Proven experience as a Tech Lead or similar role in developing conversational AI solutions., • Strong programming skills in languages such as Python, Java, or JavaScript., • In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques., • Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework., • Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud Platform., • Familiarity with chatbot development tools and libraries., • Strong problem-solving skills and ability to think creatively.

Job Description Join a forward-thinking financial conglomerate and be at the forefront of innovation in the industry. We're seeking a Machine Learning Developer to be part of our dynamic team. If you're a Python enthusiast or an adept programmer with a passion for data-driven decision-making, we want to talk to you. Job Description: Position Overview: As a Machine Learning Developer, you'll be a valuable member of our team, working on projects that span from infrastructure development to cutting-edge modeling. The ideal candidate is someone with strong coding abilities and a solid foundation in mathematics, computer science, statistics, or machine learning. If you have an entrepreneurial spirit, a collaborative mindset, and a hunger for professional growth, we'd love to meet you. Key Responsibilities: • Engage in a mix of infrastructure work (25%) and modeling (75%)., • Handle projects in various ML disciplines, including Natural Language Processing (NLP), unstructured data analysis, predictive modeling, and classic machine learning., • Collaborate with a two-person team and liaise with different stakeholders within the organization., • Strong coding skills, preferably in Python or a similar programming language., • Solid background in mathematics, computer science, statistics, or machine learning., • A proactive and entrepreneurial mindset., • Preferred: At least 2 years of professional work experience., • Experience in ML disciplines, particularly in NLP, unstructured data analysis, predictive modeling, or classic machine learning, is a significant advantage. Application Process The application process for the Machine Learning Developer position consists of three steps to ensure we find the best candidates: Step 1: Introductory Call The first step involves a 30-minute introductory call with the hiring manager. This is an opportunity for you to discuss your skills, experience, and aspirations, and to learn more about the role and the team. Step 2: Coding Algorithm Test If you successfully pass the introductory call, the second step is a coding algorithm test. You will be provided with a coding challenge to assess your problem-solving and programming skills. This test helps us understand your practical abilities and how well you can apply your knowledge to real-world scenarios. Step 3: Coding Interview In the third step, we will conduct a coding portion of the interview to evaluate your development skills in more depth. This interview is designed to ensure that your coding and development skills meet our standards and align with the responsibilities of the role. We encourage all qualified applicants to take the first step and schedule an introductory call. Join our innovative team and demonstrate your development skills to make a significant impact in the financial industry. To schedule your introductory call and advance to the next steps, please send your resume and a brief introduction. Cypress Group is committed to diversity and inclusion in the workplace. We appreciate the interest of all applicants and will contact candidates who advance to the coding interview phase.

Job Description PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. Enterprises trust our conversational AI platform to automate millions of customer interactions every day. Your mission is to define the strategy and lead the developer ecosystem for our new Developer Platform. This includes creating world-class technical content, nurturing a vibrant community of AI builders, and acting as the primary advocate for external developers integrating with our APIs and agent-building tools. We are looking for an impact driven and technical Developer Relations Manager to own the developer journey, driving platform adoption, and establishing PolyAI as the premier destination for Conversational AI developers. You will lead technical advocacy, mentor builders, and align closely with product, marketing, and engineering teams, translating frontier Agentic AI into intuitive, well-documented, and scalable developer resources. If you are motivated by empowering developers, solving complex integration challenges, and transforming technical platform capabilities into a thriving, community-led ecosystem, we want to meet you. Key Responsibilities • Define and Lead the Developer Ecosystem Strategy. Establish a winning DevRel strategy and unified developer journey across our core platform APIs, SDKs, and integration points. Define, monitor, and report on key developer success indicators, driving continuous improvement to maximize developer ROI and platform stickiness., • Own and Deliver World Class Technical Content. Oversee the entire content lifecycle for developers, from strategic prioritization of topics to the creation of high-quality tutorials, API documentation, code samples, reference architectures, and video guides demonstrating how to build and optimize LLM-powered agents., • Be the Voice of Developers. Serve as the principal bridge between the external developer community and internal technical execution. Champion developer needs, translate community feedback into actionable product requirements, and challenge our engineering teams to continuously elevate the developer experience (DevEx)., • Community Building and Advocacy. Act as the face of PolyAI to the developer community. Host webinars, speak at industry conferences, organize hackathons, and actively nurture technical discussions on platforms like GitHub, Discord, or Stack Overflow to ensure developers feel supported and engaged., • Integrate and Optimize Core AI Technology for Builders. Work alongside product teams to ensure our underlying LLM, RAG, and tool-calling pipelines are exposed to developers in a way that is intuitive, scalable, and consistent. Provide hands-on feedback during the development of new platform features., • Lead Developer Go-to-Market Strategy. Direct developer-focused Go-to-Market collaboration, including the coordination of API beta programs, developer launch kits, and technical enablement sessions to drive rapid, grassroots platform adoption.Requirements, • 5+ years of experience in Developer Relations, Technical Evangelism, or Software Engineering, with a strong focus on community engagement and developer experience., • Proven experience driving developer adoption and managing technical communities for API-first B2B, or Enterprise SaaS developer platforms at scale., • Exceptional ability to use qualitative developer insights and quantitative usage data to define, validate, and evolve a technical advocacy strategy., • Demonstrated track record of creating compelling, high-quality technical content (e.g., code repositories, blog posts, architecture diagrams, and technical presentations) that drives developer engagement., • Superior communication skills, with the ability to articulate complex technical AI/ML concepts to both deeply technical audiences and executive leadership., • Strong technical background. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience in software development (particularly with Python, Node.js, and REST/GraphQL APIs).Preferred Requirements, • Experience working with conversational AI, Natural Language Processing (NLP), Large Language Models (LLMs), or speech technologies., • Previous experience defining, measuring, and moving quantitative success metrics for developer communities or open-source projects., • Experience working on a global B2B or Enterprise platform with a significant international developer footprint. 🏥 Comprehensive health coverage for you and your loved ones 👪 Life Insurance ◻️ STD and LTD 💰 The opportunity to contribute to the company's 401k plan 🏝 Flexible PTO policy + 11 designated company holidays 📚 Annual learning and development allowance 🏡 We're all about making WFH work for you - that's why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus! 🧡 Enhanced parental leave 👨️‍👩️‍👧 Company-funded fertility and family-forming programmes 🌸 Menopause care programme with Maven 🌎 Sabbatical Program: 5-week paid sabbatical available after 5 years of employment At PolyAI, we take great pride in our values - they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact. Our core values are: Only the best We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence. Ownership We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes. Relentlessly improve We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI. Bias for action Our world moves quickly and so do we. We take calculated risks and we deliver impact fast. Disagree and commit We are all working toward the same goal. If we donʼt agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all. Build for people We want the world to enjoy the experiences they have with us. We are building for a future that prefers automation. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Kindly find the Privacy Notice for our recruitment process by following the link here. This document provides important information regarding how we handle your personal data throughout the recruitment journey.

Job Description Don't see a role that fits your background? We're always on the lookout for talented individuals to join our team. If you're ready to be part of something extraordinary, we want to hear from you! We'll reach out if any of the hiring managers are interested in your background. About Seekeasy Seekeasy builds recommendation engines powered by generative AI and by experts, reviewers, and influencers. As a funded pre-seed startup and a veteran team, we're on a mission to deliver recommendations that are trusted, informed and crafted for you. The Opportunity * Build for the new internet era: Generative AI is profoundly transforming how we consume and engage with content. Seekeasy is building the technologies that can take GenAI recommendations from “good enough” to “great” - we’re working to create something that is useful to millions of people every day. * Pioneer AI-driven technology: Harness the latest advancements in computer vision, NLP, and generative AI to build recommendation engines that reshape how people discover places, products, and content. * Join a veteran team: We are a team of seasoned startup veterans and know how to navigate the challenges of early-stage companies. You’ll have the support of a battle tested, low ego team to help you get what you need to get things done. * Solve real-world challenges: Work on problems that matter. Your solutions will directly impact how millions of users discover and engage with digital content. Who You Are * You are a builder: You love to build, ship, get feedback, and iterate - because that’s the only way to know what’s working and what’s not. * You are an owner: You take pride in your work and can operate autonomously to drive your work forward. Seekeasy is not the right fit for people who default to waiting for instructions. * You are a team player: You see yourself as part of the team, not just as someone working on the same project. Whatever it takes for the team to succeed, you want to be a part of it. Benefits * Generous equity grant – be a true owner in the company you're building. * Comprehensive health, dental, and vision insurance – we cover 100% for employees and 80% for dependents. * Flexible vacation policy – we need people at their best at all times, and we trust you to manage your time. When you’re off, be fully off. When you’re on, be fully present and let’s get things done. Seekeasy is committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other legally-protected status. We are committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process - please contact to request an accommodation. Seekeasy will consider qualified applicants with criminal histories in a manner consistent with applicable law.

A leading data-focused company is seeking a Director, Data Scientist specializing in Generative AI Systems in New York, NY.This role requires expertise in Natural Language Processing and machine learning.The ideal candidate will lead cross-functional teams to develop AI-powered products that transfo

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. About you- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have:- Contributed to open-source projects, particularly in the LLM or AI space.- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! By applying, you agree to our Applicant Privacy Policy. What we offer • \uD83D\uDCB0 Competitive salary and equity., • \uD83D\uDE91 Healthcare: Medical/Dental/Vision covered for you and your family., • \uD83D\uDC74\uD83C\uDFFB Pension : 401K (6% matching), • \uD83C\uDFDD️ PTO : 18 days, • \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport, • \uD83C\uDFC0 Sport: $120/month reimbursement for gym membership, • \uD83E\uDD55 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger), • \uD83C\uDF0E Visa sponsorship, • \uD83E\uDD1D Coaching: we offer BetterUp coaching on a voluntary basis By applying, you agree to our Applicant Privacy Policy.

Job DescriptionThe Company: Placements.io is a product-first SaaS company transforming how digital media publishers and agencies manage their advertising businesses. Our platform simplifies ad sales, operations, billing, and revenue reporting—enabling our customers to scale efficiently and make smarter decisions. With a global footprint and a strong engineering culture, we've been recognized on Inc.'s 5000 Fastest-Growing Companies list and named one of Will Reed's Top 100 Early-Stage Companies to Work For, and recognized in Built In's Best Places to Work in multiple categories. Originally started in Seattle, we've expanded to New York, Denver, London, Taipei, and Singapore. The Position: Placements.io is building the operating system for modern media revenue teams. As we continue to scale our platform and invest in AI-powered capabilities, we're looking for a Senior Product Manager to help drive product strategy and execution across core initiatives—particularly those leveraging LLMs and generative AI. This role is based in the NYC metro area and will partner closely with engineering, design, and go-to-market teams to deliver impactful, enterprise-grade B2B SaaS products. Key Responsibilities: * Own the end-to-end product lifecycle, from discovery and strategy through delivery and iteration * Define and execute product strategy and roadmaps for AI- and LLM-powered features * Translate customer needs, business goals, and technical constraints into clear product requirements * Lead product discovery efforts, including user research, customer interviews, and data analysis * Partner closely with engineering, design, and GTM teams to deliver high-quality solutions * Prioritize initiatives and make thoughtful tradeoffs to maximize customer and business impact * Define success metrics and continuously evaluate product performance * Communicate product vision, progress, and outcomes to stakeholders and leadership Qualifications: * 4–10 years of total professional experience * 5+ years of product management experience * Currently (or recently) operating as a Product Manager or Product Lead * Direct, hands-on experience building or managing LLM- or AI-powered products * Strong experience with B2B SaaS products, ideally in enterprise environments * Experience collaborating cross-functionally with engineering, design, and GTM partners * Based in the New York City metro area Nice to Have: * Experience in high-growth startups and/or established technology companies * Technical background, including a CS degree or prior engineering experience * Experience with generative AI, NLP, or machine learning products * Proven track record of launching and scaling successful B2B products Benefits Include: • Competitive salary, • Early-stage stock options, • Open PTO, • 401k match, • Company paid medical, dental, vision, and life insurance, • Regular company lunches and happy hours, • Gym membership reimbursement, • Cell phone reimbursementCompensation: Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. The expected base salary range for this role in the selected cities: New York, NY - $180,000 - $200,000 USD The base salary offered to a candidate may be influenced by various factors, including but not limited to relevant experience, skills, qualifications, education, work location, and other business and organizational needs. To apply to our open positions, please email your resume, cover letter, and the name of the position you are applying for to . We look forward to meeting you! EEO Employer: Placements.io 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, disability, Veteran status, or any other protected classification. Reasonable Accommodation Statement Placements.io complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please send a request to . All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.