We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Machine Learning and Python Software Engineer III at JPMorgan Chase within the Asset and Wealth Management 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 

• Development and deployment of AI/ML solutions for AWM Client Service Function.
• Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
• Conduct thorough evaluations of Gen AI models, iterate on model architectures, and implement improvements to enhance overall performance across applications.
• Develop appropriate functional, non-functional, and performance testing frameworks for models.
• Work directly with the US Core Client Service AI team on a daily basis to drive AI implementations from India.
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
• Stay updated with the latest trends and advancements in data science, machine learning, and related fields, and actively seek opportunities to enhance skills and knowledge.
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of engineering experience with 3+ years of strong programming skills in Python, with experience in developing and maintaining production-level code.
• Hands-on experience in applied AI/ML engineering with 3+ years, with a track record of developing and deploying business-critical machine learning models and applications in production.
• Experience leading developers in a high impact fast paced environment.
• Proficient in programming languages like Python for model development, experimentation, and integration with Azure OpenAI API.
• Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations, and fine-tune models for optimal performance in NLP applications.
• Strong collaboration and communication skills to work effectively with geographically spread cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
• Strong problem-solving and analytical skills with emphasize on attention to detail.
• Experience with cloud platforms, for deploying and scaling AI/ML models.

Preferred qualifications, capabilities, and skills

• Data Engineering experience - Building Data Products for ML feature engineering
• Experience in building and deploying models on Databricks platform
• Knowledge of large language models (LLMs) and accompanying toolsets the LLM ecosystem (e.g. Lang chain, Vector databases, opensource Models like Mistral, Llama, etc)
• Exposure to cloud automation technologies such as Terraform
• Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability.