Full-Stack AI Engineer / Data Scientist – Agentic Systems
Roche (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 30–55 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and deploy advanced agentic generative AI systems and classical ML models end-to-end, including production releases and monitoring.
- Develop AI workflows utilizing multimodal foundation models, Model Context Protocol, and Retrieval-Augmented Generation pipelines on cloud platforms (AWS/multicloud).
- Lead full-stack development and MLOps lifecycle including containerization, CI/CD, and cloud-native architecture for scalable AI applications.
Minimum Requirements
- 7+ years of AI/ML engineering and Data Science experience, including 3+ years with generative large language models and AI agents.
- Strong programming skills in Python; TypeScript knowledge is a plus.
- Experience with AWS (and multicloud), GenAI services (Amazon Bedrock, SageMaker), and MLOps practices including Docker and CI/CD pipelines.
- Degree in Computer Science, Physics, Statistics, Mathematics, or related field (B.Sc./B.Eng./M.Sc./M.Eng./Ph.D.).
Ideal Candidate Profile
- Experienced full-stack AI engineer combining data science, ML engineering, and MLOps skillsets to own end-to-end AI system delivery.
- Comfortable working in small agile teams using AI coding agents to accelerate development cycles and handle complex cross-modal AI workflows.
- Capable of consulting across stakeholders with strong knowledge of AI ethics, bias mitigation, and responsible AI deployment in production systems.