JPMorgan Associate Controls Room – Quant Modeler/AI ML Developer 

India, Telangana, Hyderabad 

137154781

Job Summary

As an Associate, AI/ML model developer within the Control Management, you will be responsible to manage the analytics and AI/ML program that will data mine to identify insights, build models to production, work with other machine learning model developers, and work with stakeholders to deliver business value.

Job responsibilities

• Research data to discover insights and develop innovative ML-based solutions to some of Control Management’s hardest problems.
• Understand the AI/ML program journey to formulate relevant high impact business questions that can be answered through data analysis.
• Develop strong data science capabilities that can be scaled across various business use cases.
• Collaborate with Tech partners to design and deploy Machine Learning services that can be integrated with strategic systems.
• Leverage internal reusable components and cutting-edge external tools strategically to advance capability development.
• Effectively document and convey approaches and results to non-technical audiences, such as business stakeholders and executive leadership.
• Research and implement state-of-the-art methods and models.

Required qualifications, capabilities, and skills.

• Bachelor’s or Master’s degree/Ph.D. in Data Science, Computer Science or Technology-related discipline
• Minimum of 5 -7 years of AI/ML model development experience
• Hands-on experience in building and managing large-scale Data Science and Machine Learning models, including their monitoring and upkeep in production.
• Hands-on experience with Deep Neural Network packages (examples: PyTorch, Keras/TensorFlow, HuggingFace packages like transformers, datasets etc).
• Strong understanding of various machine learning concepts, including Natural Language Processing (NLP) and Large Language Models (LLMs)
• Strong ability to develop and debug in Python with extensive experience with machine learning APIs and computational packages (examples: Scikit-Learn, NumPy, SciPy, Pandas, XGBoost etc)
• Experience in exploring and analyzing data using SQL, including writing queries and extracting insights from large datasets.
• Experience in developing solution using cloud technologies such as AWS Sagemaker, Azure etc.
• Able to be results and client-focused and follow the agile development paradigm.
• Able to independently research and propose alternatives with some guidance as to problem relevance.
• Able to work with non-specialists in a partnership model, conveys information clearly and creates a sense of trust with stakeholders.