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Engaged Employer

JPMorgan Chase & Co.

Compare

4.0

based on 6.2k Reviews

Video summary

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Mega Company - 2024

Top Rated Company for Women - 2024

Top Rated Financial Services Company - 2024

3 JPMorgan Chase & Co. Lead Jobs

Applied AI ML Lead

JPMorgan Chase

4.0

based on 6.2k Reviews

5-10 years

Bangalore / Bengaluru

1 vacancy

Applied AI ML Lead

JPMorgan Chase & Co.

posted 18d ago

Job Role Insights

Flexible timing

Key skills for the job

Python Machine Learning Risk Management Wealth Management Financial Services Data Processing

+ 2 more

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Data Scientist Lead at JPMorgan Chase within the Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives.

Job responsibilities

Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain
Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
Communicate effectively with both technical and non-technical stakeholders
Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
Develop and maintain tools and framework for prompt-based model training, evaluation and optimization
Analyze and interpret data to evaluate model performance to identify areas of improvement

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Experience with prompt design and implementation or chatbot application
Strong programming skills in Python with experience in PyTorch or TensorFlow
Experience building data pipelines for both structured and unstructured data processing.
Experience in developing APIs and integrating NLP or LLM models into software applications
Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.
Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner
Basic knowledge of deployment processes, including experience with GIT and version control systems
Familiarity with LLM orchestration and agentic AI libraries
Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment

Preferred qualifications, capabilities, and skills

Familiarity with model fine-tuning techniques such as DPO and RLHF.
Knowledge of Java, Spark
Knowledge of financial products and services including trading, investment and risk management

Employment Type: Full Time, Permanent

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