Senior Software Engineer - AI/ML
Bristol Myers Squibb (company site, opens in a new tab)4+ yrsHyderabadOn-siteDirect career pageEst. 20–35 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy machine learning and generative AI solutions aligned to key business priorities, including production-ready models and applications.
- Collaborate with IT and business stakeholders to gather requirements, translate them into user stories and sprints, and support Agile delivery of AI/ML initiatives.
- Develop generative AI (LLMs) and Agentic AI solutions, oversee ML lifecycle tasks including model training, testing, tuning, and system architecture contributions.
Minimum Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field, or equivalent experience.
- 4+ years of experience in machine learning and/or AI engineering roles.
- Proven experience developing and deploying traditional ML models (Scikit-learn, TensorFlow/Keras) and generative AI applications (LLM integration, prompt engineering).
- Experience working in Agile/Scrum environments with Python programming and version control (Git).
Ideal Candidate Profile
- Skilled at bridging technical and non-technical stakeholders, capable of translating complex requirements into clear user stories and solution options.
- Experienced in both traditional ML and generative AI techniques, including agent orchestration frameworks and vector databases for retrieval-augmented generation.
- Comfortable working in cross-functional teams within Agile delivery models, with exposure to ML lifecycle tools and enterprise cloud AI platforms.