Applied AI ML Associate at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, GenAI, Data Pipelines, Cloud Computing, Python, TensorFlow, Scikit-learn, OpenAI API, Collaboration, Infrastructure Provisioning, Model Deployment, API Design, NLP, Terraform, AWS

Industry

Financial Services

Description

Are 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 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. Required qualifications, capabilities and skills 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. Preferred qualifications, capabilities, and skills 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. Exposure to AWS is preferred.

Responsibilities

You will be responsible for developing and deploying state-of-the-art AI/ML/LLM/GenAI based inference solutions. Additionally, you will maintain pipelines for infrastructure provisioning and model deployment.