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Software Engineer II - AIML

Bristol-Myers Squibb

Software Engineer II - AIML

full-timePosted: Aug 27, 2026Updated: Sep 1, 2026Hyderabad - TS - IN

Job Description

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.ResponsibilitiesDevelop Generative AI solutions leveraging large language models (LLMs) for enterprise applications including text generation, summarization, RAG (Retrieval-Augmented Generation), and intelligent assistantsImplement Agentic AI systems using multi-agent frameworks to automate complex workflows and decision-making pipeline.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 servingLeverage evaluation tools and platforms (e.g., LangSmith, MLflow, Weights & Biases, or equivalent)Write clean, scalable, production-ready code in PythonBuild AI applications using frameworks and libraries including: LangChain and LangGraph for orchestration and agentic workflows, Pydantic AI for structured data validation and AI model integrationUse VS Code or similar IDEs and leverage AI coding tools such as GitHub Copilot, Claude Code, and similar assistants to accelerate development productivityManage source code, branching strategies, and CI/CD workflows using GitHubCollaborate with team members following Agile/Scrum methodologies Good to have:Develop and manage data pipelines, ML workflows, and AI applications on the Databricks platformBuild or contribute to internal AI-powered web applications using ReactJS Qualification Bachelor’s Degree in Computer Science, Mathematics or related field with 4+ years of progressively responsible experience in an IT technical role.Experience in developing and deploying ML solutions using core libraries and frameworks including Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras etcExperience working on GenAI & Agentic Frameworks like LangChain, LangGraph, Pydantic AI, LlamaIndex etcFamiliarity with LLM platforms like Azure OpenAI, AWS Bedrock, Google Vertex AI etcWe 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 WorkWhere 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 DisabilitiesBMS 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 adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.Candidate RightsBMS 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 ProtectionWe 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 TAEnablement@bms.com 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.R1602329 : Software Engineer II - AIML

Locations

  • Hyderabad - TS - IN

Skills Required

  • IT technical roleintermediate
  • developingintermediate
  • LLM platforms like Azure OpenAIintermediate

Required Qualifications

  • Bachelor’s Degree in Computer Science, Mathematics or related field with 4+ years of progressively responsible experience in an IT technical role. (experience, 4 years)
  • Experience in developing and deploying ML solutions using core libraries and frameworks including Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras etc (experience)
  • Experience working on GenAI & Agentic Frameworks like LangChain, LangGraph, Pydantic AI, LlamaIndex etc (experience)
  • Familiarity with LLM platforms like Azure OpenAI, AWS Bedrock, Google Vertex AI etc (experience)
  • 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. (experience)

Preferred Qualifications

  • Develop and manage data pipelines, ML workflows, and AI applications on the Databricks platform (experience)
  • Build or contribute to internal AI-powered web applications using ReactJS (experience)

Responsibilities

  • 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 pipeline.
  • 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
  • Leverage evaluation tools and platforms (e.g., LangSmith, MLflow, Weights & Biases, or equivalent)
  • Write clean, scalable, production-ready code in Python
  • Build AI applications using frameworks and libraries including: LangChain and LangGraph for orchestration and agentic workflows, Pydantic AI for structured data validation and AI model integration
  • Use VS Code or similar IDEs and leverage AI coding tools such as GitHub Copilot, Claude Code, and similar assistants to accelerate development productivity
  • Manage source code, branching strategies, and CI/CD workflows using GitHub
  • Collaborate with team members following Agile/Scrum methodologies

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