Senior Software Engineer - AI/ML

Bristol-Myers Squibb Co; Hyderabad; Sur place; INR 900 000 - 1 500 000; Plein temps

Résumé du poste

Bristol Myers Squibb is seeking an AI/ML Engineer to design and deliver generative AI capabilities, LLM integrations, and agentic workflows. You will collaborate with IT and business stakeholders to translate requirements into scalable AI solutions and robust Python implementations.

Role emphasizes agile delivery, data governance, and hands‑on ML model training and evaluation across enterprise use cases. Candidates should have 4+ years in ML/AI roles and strong communication skills.

Qualifications

• 4+ years in ML or AI engineering roles.
• Experience with traditional ML and generative AI techniques.
• Strong analytical and problem‑solving skills.
• Excellent stakeholder communication and cross‑functional collaboration skills.
• Experience working in Agile/Scrum environments.

Responsabilités

• Collaborate with IT and business teams to design and deliver new digital capabilities.
• Design and develop Generative AI solutions and LLM integrations.
• Break down AI/ML initiatives into user stories and sprint tasks.
• Write clean, production‑ready Python code.
• Support data processing, governance, and security.
• Contribute to system architecture and design documentation.
• Run ML tests and train models; perform evaluations.
• Explore datasets and data representations for distributed processing.

Connaissances

Python

ML engineering

TensorFlow/Keras

LangChain

LangGraph

Claude Agent SDK

Azure OpenAI

AWS Bedrock

Vertex AI

Vector databases

LangSmith

Agile/Scrum

Stakeholder comms

Formation

Bachelor's degree in CS/DS/Engineering

Outils

Git

Databricks

MLflow

CI/CD (GitHub Actions)

JIRA

Confluence

Description du poste

Role Overview

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Key Responsibilities

• Collaborate with IT partners, business teams, and the broader IT matrix organization to support solution design and delivery of new digital capabilities, and contribute to the enablement and simplification of existing ones
• Work with IT partners and business teams to understand requirements and use cases; help align requirement outcomes to support successful delivery of new initiatives and enhancements
• Design and develop Generative AI solutions leveraging LLMs for enterprise use cases including text generation, summarization, Retrieval-Augmented Generation (RAG), and intelligent assistants
• Contribute to Agentic AI systems using multi-agent frameworks to help automate workflows and decision‑making pipelines
• Break down AI/ML initiatives into user stories, epics, and sprint‑ready tasks using Agile/Scrum methodologies
• Gather requirements, propose solution options, and communicate technical concepts clearly to non-technical stakeholders
• Write clean, scalable, production‑ready Python code following software engineering best practices
• Support the design of machine learning systems; research and apply appropriate ML algorithms and tools
• Assist with data processing, access, storage, governance, security, and operations
• Help select appropriate datasets and data representation methods for distributed processing and storage
• Contribute to system architecture and design documentation under the guidance of senior engineers/leads
• Run machine learning tests and experiments; train and retrain models as needed
• Perform statistical analysis and fine‑tuning based on test results
• Extend existing ML libraries and frameworks while keeping up with developments in the field
• Contribute to Proof of Concepts (POCs), factoring in user management, security, data privacy, and performance considerations
• Help identify high‑value capabilities and opportunities for continuous improvement when evaluating platform choices

Desired Experience

• Traditional Machine Learning Experience building and deploying production ML models using Scikit‑learn, NumPy, and Pandas
• Hands‑on experience with TensorFlow/Keras for supervised and unsupervised learning tasks
• Experience with feature engineering, model evaluation, and managing the ML lifecycle (e.g., MLflow)
• Generative AI Hands‑on experience building generative AI applications, including prompt engineering and LLM integration
• Experience with agent orchestration frameworks such as LangChain, LangGraph or Claude Agent SDK
• Familiarity with LLM platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI
• Working knowledge of vector databases (e.g., pgVector, AWS OpenSearch) for retrieval‑augmented generation
• Experience evaluating and monitoring LLM/GenAI application quality using frameworks such as LangSmith
• Stakeholder Engagement & Solutioning Proven ability to work directly with business stakeholders to gather and define requirements
• Experience translating requirements into clear, actionable user stories
• Ability to evaluate and present multiple solution options with tradeoffs to stakeholders and technical leadership
• Strong communication skills to bridge technical and non‑technical audiences

Tools & Collaboration

• Working knowledge of Python and version control (Git)
• Experience working in Agile development environments using tools such as JIRA and Confluence
• Agentic AI Development Tools Basic understanding of Claude capabilities such as skills, hooks, plugins, subagents, and MCP connectors to build AI solutions
• Ability to use Claude or similar agentic AI coding tools as part of the software development workflow

Good to Have

• Hands‑on experience with Databricks, including Databricks MLflow and Databricks AI Search, for ML lifecycle and data workloads
• Experience with cloud ML platforms such as AWS SageMaker
• Exposure to CI/CD tooling (e.g., GitHub Actions, AWS CodePipeline/CodeBuild/CodeDeploy)

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience
• 4+ years of experience in machine learning and/or AI engineering roles
• Demonstrated experience with both traditional ML and generative AI techniques
• Strong analytical and problem‑solving skills
• Excellent stakeholder communication and cross‑functional collaboration skills
• Experience working in Agile/Scrum environments

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/

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.

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.