Software Engineer - II, AI/ML

Bristol-Myers Squibb Co; Hyderabad; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

Bristol-Myers Squibb Co. is seeking a Software Engineer II, AI/ML to design, build, and deploy Generative AI and machine learning solutions powering enterprise applications.

You will work across the AI pipeline from data ingestion to production inference, delivering intelligent assistants and RAG-based systems. You will collaborate in an Agile environment, implement LangChain/LangGraph orchestration, and contribute to scalable, production-ready code using Python, PyTorch, and TensorFlow/Keras.

Qualifications

• Bachelor's Degree in Computer Science, Mathematics, or a related field.
• Experience with ML libraries including Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras.
• Experience with GenAI, LangChain, LangGraph, and LLM platforms.

Responsibilities

• Build Generative AI features for enterprise applications (text generation, summarization, RAG).
• Design multi-agent AI systems to automate workflows.
• Train and deploy ML models for NLP, classification, regression tasks.
• Own AI pipelines end-to-end from data ingestion to serving.
• Monitor model/agent performance in production and iterate.
• Write clean, scalable code and manage CI/CD workflows.
• Collaborate with cross-functional teams in Agile/Scrum.

Skills

Python

AI/ML

LLMs

AGI/GenAI

LangChain

LangGraph

Pydantic AI

LangIndex/LlamaIndex

PyTorch

TensorFlow/Keras

CI/CD

GitHub Copilot

Agile/Scrum

Data Pipelines

Education

Bachelor's Degree in Computer Science, Mathematics, or related field

Tools

LangChain

LangGraph

Pydantic AI

LlamaIndex

Databricks

OpenSearch / vector DBs

GitHub Copilot

Job description

Role Overview

As a Software Engineer II, AI/ML, you will design, build, and deploy Generative AI and machine learning solutions that power enterprise applications - from intelligent assistants and RAG-based systems to agentic workflow automation - working across the full AI pipeline from data ingestion to production inference.

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

Desired Experience

Generative AI & LLM Applications

• 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

Agentic AI & Orchestration

• 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

Machine Learning

• 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

AI Pipelines & Evaluation

• 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

Software Engineering & Tools

• 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

Collaboration & Process

• Experience collaborating with cross-functional teams following Agile/Scrum methodologies

Good to Have

• 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

Required Qualifications

• Bachelor's Degree in Computer Science, Mathematics, or a related field, with 3+ years of progressively responsible experience in an IT technical role
• Experience developing and deploying ML solutions using core libraries and frameworks including Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras
• Experience working on GenAI and Agentic frameworks such as LangChain, LangGraph, Pydantic AI, LlamaIndex
• Familiarity with LLM platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [e-mail]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ For roles based in Washington state only: If you live in or expect to work from Washington State if hired for this position, please visit this page for important information about the Washington Fair Chance Act.

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If this posting is missing required information required by local law or incorrect, contact BMS at [e-mail] with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

R1607418 : Software Engineer - II, AI/ML Data Privacy Link

We're creating innovative medicines for patients fighting serious diseases. We're also nurturing our own diverse team with inspiring work and challenging career options. No matter the role, each one of us makes a contribution. And that makes all the difference.