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JPMorgan Chase Bank
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Applied AI ML Associate

Applied AI ML Associate

JPMorgan Chase Bank

2 - 7 years

20 - 25 Lacs

hyderabad ahmedabad greater noida bengaluru

Posted:4 days ago| Platform:

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Skills Required

data analysis automation wealth management neural networks machine learning calculus continuous improvement business solutions sql python

Work Mode

Work from Office

Job Type

Full Time

Job 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 for you to work in our team to partner with the Business to provide a comprehensive view.

As an Applied AI/ML Associate within the Asset and Wealth Management Risk team, you will revolutionize how the Private Bank services and advises clients, deepen client engagements, and promote process transformation.
You will analyze existing processes and vast amounts of data to design autonomous AI agents. while leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.

Job Responsibilities

Develops and implements Gen AI and Agentic AI solutions using Python to enhance automation and decision-making processes.
Develops and maintains machine learning models to solve complex business problems
Collaborates with cross functional teams to identify opportunities for leveraging data to drive business solutions
Analyses large, heterogeneous datasets to extract actionable insights and inform decision-making
Stays updated with the latest advancements in machine learning and especially Large Language Models and agentic systems
Identifies the right state of the art solutions for the bank s objectives and implement them as clean, production-ready code
Communicates findings and recommendations through clear and concise reports and presentations

Required qualifications, capabilities and skills

Formal training or certification on software engineering concepts and 2+ years applied experience
Proficiency in Python and SQL and familiarity with good software engineering practices
Excellent written and verbal communication
Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn
Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus
Collaborative, humble and enthusiastic attitude

Preferred qualifications, capabilities and skills

Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc.
Experience in deep neural networks and familiarity with the latest developments in related fields
Experience in LLM model fine tuning and continuous learning techniques
Experience in prompt engineering techniques and state-of-the-art LLM architectures

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Applied AI ML Associate