Bristol Myers Squibb

Healthcare

SeniorSoftwareEngineer-AIML,Commercialization

₹25–45L ~AI est. India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer - AIML, Commercialization at Bristol Myers Squibb. Skills: AIML, Commercialization, Generative AI, Agentic AI. Lead solution design. Own stakeholder engagement”

Industry & Context.

Healthcare
Problems you'll solve

Solution design; Evaluate trade-offs

What They're Looking For.

Must Have

Bachelor's Degree in Computer Science, Mathematics, or related field, 7+ years of IT technical experience, 2+ years in a senior or lead capacity, Demonstrated experience gathering requirements, Demonstrated experience designing solutions, Demonstrated experience communicating technical concepts to non-technical stakeholders, Experience planning and delivering projects using Agile/Scrum methodologies, Proven ability to create architectural and flow diagrams for complex AI/ML systems, Experience in developing and deploying ML solutions using core libraries and frameworks, Experience working on GenAI & Agentic Frameworks, Familiarity with LLM platforms

Nice to Have

Develop and manage data pipelines on Databricks platform, Build AI-powered web applications using ReactJS and Python

What You'll Do.

Own stakeholder engagement

Drive architectural decisions

Take end-to-end accountability for delivery

Plan AI/ML initiatives

Decompose AI/ML initiatives into user stories

Evaluate solution options

Propose solution options

Articulate trade-offs

Develop Generative AI solutions

Leverage large language models (LLMs)

Implement Agentic AI systems

Use multi-agent frameworks

Automate complex workflows

Automate decision-making pipelines

Design machine learning models

Build machine learning models

Deploy machine learning models

Maintain AI pipelines

Leverage evaluation tools and platforms

production-ready code

Build AI applications

Use frameworks and libraries

Use VS Code or similar IDEs

Leverage AI coding tools

Manage branching strategies

Manage CI/CD workflows

Collaborate with team members

Develop data pipelines

Manage data pipelines

Develop AI applications

Manage AI applications

Build internal AI-powered web applications

How You'll Work.

Team & Collaboration

Agile/Scrum methodologies; Cross-functional teams

Communication Scope

Communicate technical concepts

Process & Methodology

Agile, Scrum

Full Job Description

**Working with Us** Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: [careers.bms.com/working-with-us](https://careers.bms.com/working-with-us). **Desired Experience** * Senior AIML Engineer is a technically advanced individual contributor expected to independently lead solution design, own stakeholder engagement, drive architectural decisions, and take end-to-end accountability for delivery. * Plan and decompose AI/ML initiatives into user stories, epics, and sprint-ready tasks using Agile/Scrum methodologies * Evaluate and propose multiple solution options, articulating trade-offs in terms of complexity, cost, scalability, and time-to-value. * Develop Generative AI solutions leveraging large language models (LLMs) for enterprise applications including text generation, summarization, RAG (Retrieval-Augmented Generation), and intelligent assistants * Implement Agentic AI systems using multi-agent frameworks to automate complex workflows and decision-making pipelines * Design, build, and deploy machine learning models for classification, regression, NLP, and other AI use cases * Build and maintain AI pipelines from data ingestion through model inference and serving *

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