JPMorgan Applied AI / ML Associate Sr 

India, Karnataka, Bengaluru 

563456867

Job responsibilities

• Development and deployment of AI/ML solutions for driving business value.

• 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. Conduct evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP 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 Effectively, communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.

• 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

• Formal training or certification on Computer Science, Engineering, or a related field concepts and 3+ years applied experience.
• Experience in programming skills like Python
• 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.
• 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 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.