Applied AI ML Associate

Role Overview: As a Machine Learning Software Engineer II at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you will be part of a dynamic and growing team in a fast-paced and challenging area. Your primary focus will be on building production-grade ML services, developing end-to-end data pipelines, and integrating them into the overall inference architecture. You will have the opportunity to work with traditional AI/ML techniques as well as GenAI, making a direct impact on global business. Key Responsibilities: - Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements. - Develop, and deploy state-of-the-art AI/ML/LLM/GenAI based inference solutions to meet business objectives. - Develop and maintain pipelines for infrastructure provisioning on public cloud. - Develop and maintain pipelines for model deployment, ensuring scalability, reliability, and efficiency. - Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 2+ years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying solutions in production. - Experience provisioning infrastructure and dependencies on cloud computing platforms. - Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. - Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, Scikit-learn, OpenAI, etc. - Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects. Additional Details: Familiarity with the financial services industries, a portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering, API design and development experience, experience with Infrastructure-as-code tools like Terraform, and exposure to AWS is preferred.,