Applied AI ML Associate

18 hours ago


bangalore, India JPMorganChase Full time

DescriptionAre you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity apply your skills and have a direct impact on global business. You will be building production-grade ML services, developing end-to-end data pipelines, and integrating them as part of the overall inference architecture. You will have the opportunity to work with traditional AI/ML techniques as well as GenAI.As a Machine Learning Software Engineer II at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilitiesWork 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.Required qualifications, capabilities and skillsBachelor's or Master's degree in Computer Science, Engineering, or a related field2+ 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. Preferred qualifications, capabilities, and skillsFamiliarity 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. Exposure to AWS is preferred.



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