Bristol Myers Squibb
Hyderabad, Telangana, India Posted 2d ago
At Bristol Myers Squibb, this Software Engineer II, AI/ML role designs, builds, and deploys Generative AI and machine learning solutions that power enterprise applications.
Key Responsibilities
Build Generative AI features for enterprise applications, including text generation, summarization, and RAG-based intelligent assistants
Design and orchestrate multi-agent AI systems that automate complex workflows and decision-making
Design, train, and deploy machine learning models to solve classification, regression, NLP, and other business problems
Own AI pipelines end-to-end, from data ingestion through model inference and serving
Evaluate and monitor model and agent performance in production, iterating based on results
Write clean, scalable, production-ready code and maintain source control and CI/CD workflows
Partner with cross-functional teams in an Agile/Scrum environment to ship AI capabilities
Requirements
Experience developing Generative AI solutions using large language models (LLMs) for enterprise use cases such as text generation, summarization, and Retrieval-Augmented Generation (RAG)
Experience building intelligent assistants and conversational AI applications powered by LLMs
Familiarity with vector databases for RAG retrieval, such as AWS OpenSearch, pgVector, or Databricks AI Search
Experience implementing Agentic AI systems using multi-agent frameworks to automate complex workflows and decision-making pipelines
Hands-on experience with LangChain and LangGraph for orchestration and agentic workflow development
Experience using Pydantic AI for structured data validation and AI model integration
Experience designing, building, and deploying machine learning models for classification, regression, NLP, and other AI use cases
Hands-on experience with Scikit-learn, NumPy, Pandas, PyTorch, and TensorFlow/Keras
Experience building and maintaining AI pipelines spanning data ingestion, model inference, and serving
Familiarity with evaluation and observability tools such as LangSmith, MLflow, or Weights & Biases
Familiarity with LLM platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI
Experience writing clean, scalable, production-ready code in Python
Experience using VS Code or similar IDEs, and leveraging AI coding tools such as GitHub Copilot and Claude Code to accelerate development productivity
Experience managing source code, branching strategies, and CI/CD workflows using GitHub
Experience collaborating with cross-functional teams following Agile/Scrum methodologies
Bachelor's Degree in Computer Science, Mathematics, or a related field, with 3+ years of progressively responsible experience in an IT technical role
Preferred Qualifications
Experience developing and managing data pipelines, ML workflows, and AI applications on the Databricks platform
Experience building or contributing to internal AI-powered web applications using ReactJS
