JPMorgan Lead Software Engineer- SRE 

India, Telangana 

157737495

Job responsibilities

• Development and deployment of AI/ML solutions for 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.
• 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.
• Collaborates with other software engineers and teams to design, develop, test, and implement availability, reliability, scalability, and solutions in their applications
• Implements infrastructure, configuration, and network as code for the applications and platforms in your remit
• Collaborates with technical experts, key stakeholders, and team members to resolve complex problems
• Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience in programming skills like Python and Java
• Hands-on experience in applied AI/ML engineering with a track record of developing and deploying business-critical machine learning models and applications in production.
• 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.
• Experience with cloud platforms, for deploying and scaling AI/ML models.
• Experience on AWS Cloud knowledge
• Ability to contribute to large and collaborative teams by presenting information in a logical and timely manner with compelling language and limited supervision
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Exposure databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills.
• 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.