Associate - Data Science / Applied AI ML

JPMorgan Chase & Co.; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

JPMorgan Chase & Co. in Hyderabad seeks a data science professional to lead CCOR AI initiatives, designing and deploying advanced LLM/GenAI solutions for compliance and risk. You will drive research, collaborate with tech, compliance, and business leaders, and translate complex results into actionable insights.

The role emphasizes model evaluation, tooling, and a culture of innovation with cross-functional teamwork and continuous learning.

Qualifications

• Master's or PhD in a quantitative discipline from a top-tier university.
• 2+ years of AI/ML experience with LLMs, GenAI and NLP.
• Proven track record deploying AI in compliance or risk.
• Strong Python skills with PyTorch/TensorFlow and NLP libs.
• Deep knowledge of LLM architectures and transformers.
• Experience in data pre-processing and feature engineering.
• Excellent communication to diverse audiences.
• Familiarity with financial services regulation is desirable.

Responsibilities

• Lead CCOR data science projects for LLM/GenAI solutions in compliance and risk.
• Drive research and innovation in LLMs and GenAI to improve models.
• Collaborate across tech, compliance, and business stakeholders.
• Oversee tools and processes for LLM training and evaluation.
• Analyze data to evaluate model effectiveness and improvements.
• Communicate outcomes to senior leadership and non-technical audiences.
• Foster a culture of innovation and continuous learning.

Skills

Python programming

PyTorch

TensorFlow

Hugging Face Transformers

NLP libraries

Data pre-processing

Feature engineering

Effective communication

Education

Master's or PhD in a quantitative field

Tools

Hugging Face Transformers

PyTorch

TensorFlow

NLP libraries

Job description

Job Responsibilities:

• Lead the CCOR data science projects in designing, deploying, and managing advanced LLM and GenAI solutions for compliance and risk management.
• Drive research and innovation in LLMs, GenAI, and related AI technologies to enhance model performance and address complex regulatory challenges.
• Foster collaboration across cross-functional teams, including technology, compliance, and business stakeholders, to identify needs and deliver impactful solutions.
• Oversee the development and maintenance of tools, frameworks, and processes for LLM model training, evaluation, and optimization.
• Work with lead in analyzing and interpreting data to evaluate model effectiveness and identify opportunities for improvement.
• Communicate complex technical concepts and project outcomes to senior leadership and non-technical stakeholders, enabling informed decision-making.
• Work with team members, promoting a culture of innovation, continuous learning, and excellence.

Required Qualifications and Skills:

• Master’s degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Economics, Mathematics) from a top-tier university.
• 2+ years of experience in AI/ML, with significant recent exposure to LLMs, GenAI, and NLP technologies.
• Proven track record in developing and deploying AI solutions in compliance, risk, or related domains.
• Advanced programming skills in Python, with deep experience in frameworks such as PyTorch, TensorFlow, and NLP libraries (e.g., Hugging Face Transformers).
• Strong knowledge of LLM architectures, transformers, and language modeling.
• Experience in data pre-processing, feature engineering, and advanced data analysis.
• Exceptional problem-solving skills and the ability to communicate ideas and results clearly to diverse audiences.
• Familiarity with regulatory requirements and risk management practices in financial services is highly desirable.