[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All JPMorganChase jobs](https://jobs.opennash.com/companies/jpmorganchase/) · [Search jobs](/search/) JPMorganChase · Jersey City, NJ # Applied AI ML Senior Associate, Chief Data & Analytics Office Jersey City, NJ, United States Executive Data & Analytics Listed on JPMorganChase’s official careers site. Posted August 13, 2026. Check that it is still open and apply there. [Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210778952) [OpenNash Jobs](https://jobs.opennash.com/) / [JPMorganChase](https://jobs.opennash.com/companies/jpmorganchase/) / Applied AI ML Senior Associate, Chief Data & Analytics Office ## Job description Join a world-class data science team at JPMorgan Chase and help shape the future of our Chief Administrative Office. As a leader in applied AI and machine learning, you’ll have the opportunity to work on high-impact projects that influence the way we do business across multiple domains. Collaborate with talented colleagues, leverage cutting-edge technologies, and see your work make a tangible difference. We value curiosity, technical excellence, and a passion for solving complex problems. If you’re ready to accelerate your career and drive meaningful change, we want to hear from you. As an Applied AI ML, Senior Associate in the Chief Data & Analytics Office, you will lead the development and deployment of innovative AI and machine learning solutions. You will collaborate with cross-functional teams to address complex business challenges, drive adoption of modern ML practices, and ensure responsible AI governance. You will have the opportunity to work with state-of-the-art technologies and contribute to a culture of technical excellence and continuous learning. ### Job Responsibilities Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions. Serve as a subject matter expert on a wide range of machine learning techniques and optimizations. Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems. Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance. Own end-to-end code development in Python for both proof-of-concept and production-ready solutions. Integrate generative AI within the ML platform using state-of-the-art techniques. Drive adoption of modern ML infrastructure, tools, and best practices. Optimize system accuracy and performance by identifying and resolving inefficiencies. Communicate technical concepts and results to both technical and business stakeholders. Ensure responsible AI practices, model governance, and compliance with regulatory standards. ### Required Qualifications, Capabilities, and Skills Master’s or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field. Minimum 3 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models. Experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow. Proven experience designing, training, and deploying large-scale ML/AI models in production environments. Understanding of prompt engineering, agentic workflows, and orchestration frameworks. Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm). Grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML). Strong communication skills with the ability to explain complex technical concepts to diverse audiences. Experience applying data science and ML techniques to solve business problems. Passion for detail, follow-through, and technical excellence. ### Preferred Qualifications, Capabilities, and Skills Experience with high-performance computing and GPU infrastructure (e.g., NVIDIA DCGM, Triton Inference). Familiarity with big data processing tools and cloud data services. Experience with building and deploying ML models on cloud platforms such as AWS Sagemaker, EKS, etc. #LI-RB3 #CAODA ## At a glance - Posted by the employer: Aug 13, 2026 - First seen by OpenNash: Aug 21, 2026 - Last checked: Oct 13, 2026 - Listed for: 61 days - Location: Jersey City, NJ, United States[Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210778952) ## More jobs at JPMorganChase ### [Analytics Solutions Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/c99971e281823bcb1a89/) Jersey City, NJ, United States ### [Applied AI & Data Product Scientist](https://jobs.opennash.com/companies/jpmorganchase/jobs/7c0cf34c8d811fa9fe22/) Jersey City, NJ, United States ### [Applied AI ML Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/7bdf8f28804d9120bc8c/) Jersey City, NJ, United States ### [Applied AI ML Executive Director, Chief Data & Analytics Office](https://jobs.opennash.com/companies/jpmorganchase/jobs/c0f9065ef98d761bb5d1/) Jersey City, NJ, United States ### [Applied AI ML Lead - Generative AI](https://jobs.opennash.com/companies/jpmorganchase/jobs/6abc9c148b059994c958/) Jersey City, NJ, United States ## Similar jobs at other companies ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States ### [Data Analysis Manager - Office of the Chief Data Officer, Central Analytics](https://jobs.opennash.com/companies/capital-one-financial/jobs/afc0836b857f33d447a8/) Capital One Financial · McLean, VA ### [Data Analyst, Data Analytics](https://jobs.opennash.com/companies/cardinal-health/jobs/be02ecf98d1124b85367/) Cardinal Health · International ### [Applied Scientist, Amazon Live Data Engineering, Sciences and Analytics (DESA)](https://jobs.opennash.com/companies/amazon/jobs/cddab8012a027357f974/) Amazon · US, WA, Seattle ### [Lead Applied Data Scientist - Recommendations (Contextual Bandits, Reinforcement Learning)](https://jobs.opennash.com/companies/target/jobs/67b821e969699f715f95/) Target · Minneapolis, MN OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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