Lead Software Engineer - AI/ML & Python

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

As a Lead Software Engineer 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 firms business objectives.

Job responsibilities
 Lead 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.
 Guide and advise India team developers through Machine Learning Development Lifecycle (MDLC).
 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.

Required qualifications, capabilities, and skills
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
 Experience 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
 Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills.
 Knowledge of SRE practices.
 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 infrastructure as a code 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.,