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Tier-1 brand, popular Data Scientist title, mid-level experience, and Hyderabad metro raise applicant competition.
Strong scientific domain and life-sciences AI emphasis limits cross-industry transferability.
Explicit 5–9 years preferred plus specialized agentic AI, LLM and RAG technical requirements increase filtering.
Design, build, and integrate AI systems and workflows to accelerate scientific discovery in domains like protein engineering, disease biology, and target identification.
Develop agentic AI solutions combining foundation models, domain-specific models, knowledge sources, and computational tools for scientific decision-making.
Partner with scientific leads to translate research needs into scalable AI systems, and contribute to architectural decisions, evaluation frameworks, and reusable workflow patterns.
BS or MS in Computer Science, Engineering, Computational Biology, Bioinformatics, or related field.
Strong hands-on experience developing AI and machine learning solutions, including Python and AI/ML frameworks.
Experience with Large Language Models (LLMs), agentic AI systems, workflow orchestration, Retrieval-Augmented Generation (RAG), and vector databases.
Work Experience Required: 5-9 years, with at least 18 months in current position before applying (internal transfer guideline).
Experienced in building reusable AI agentic workflows supporting complex scientific problems across multiple domains.
Demonstrated ability to collaborate closely with scientific domain experts and cross-functional teams in highly collaborative environments.
Proven expertise in integrating scientific or domain-specific AI models and contributing to AI system architectural decisions and evaluation practices.