Full-Stack AI Engineer / Data Scientist – Agentic Systems
Roche (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 30–48 LPA
Posted on 13 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and deploy end-to-end agentic generative AI systems and classical ML solutions including design, development, MLOps, and production monitoring.
- Develop advanced AI workflows using Large Foundational Multimodal Models, Model Context Protocol, and Retrieval-Augmented Generation pipelines on AWS/multicloud infrastructure.
- Lead exploratory data analysis, algorithm optimization, evaluation via A/B testing, and real-time observability to ensure scalable, reliable, and ethical AI applications.
Minimum Requirements
- 7+ years experience in AI/ML engineering and Data Science, with 3+ years hands-on with generative large language models and agents.
- Expert-level Python proficiency and experience with AWS cloud services, GenAI frameworks (e.g., LangChain), and MLOps lifecycle including CI/CD and Docker.
- Bachelor’s degree or higher in Computer Science, Physics, Statistics, Mathematics, or related field.
- Location: Hyderabad, India, with ability to work hours overlapping Central European Time evenings.
Ideal Candidate Profile
- Highly experienced in combining data science, ML engineering, and MLOps skills with demonstrated full-stack development ownership in production AI systems.
- Proficient in agentic AI architectures involving multimodal models, state machines, and advanced AI orchestration frameworks relevant to scalable, low-latency applications.
- Capable of leading architectural patterns and tech leadership responsibilities, and consulting cross-functionally with stakeholders in regulated industry environments.