About the role
This is a remote position.
We are looking for a Data Science Lead to join a high-impact AI programme operating within a strictly regulated pharmaceutical environment. The role focuses on leading the machine learning and GenAI architecture behind a production-grade compliance platform that automates regulatory validation of marketing materials. This is a strategic, enterprise-scale initiative requiring strong ownership, architectural thinking, and hands-on depth in LLM-driven systems.
Responsibilities
* Design and evolve AI and ML architecture supporting compliance validation workflows * Design and optimise LLM-driven retrieval and validation pipelines (RAG-based systems) * Own evaluation frameworks, benchmarking strategies, and continuous improvement loops * Implement explainability and traceability mechanisms aligned with regulatory standards * Collaborate closely with ML Engineers and Backend teams on productionisation of AI components * Drive decisions around embeddings, vector databases, and retrieval strategies * Ensure reproducible, testable, and high-quality AI workflows * Support scaling the platform into an enterprise-grade AI solution * Lead technical discussions across product, engineering, and compliance stakeholders
Requirements
* Strong hands-on background in Data Science and applied Machine Learning * Proven experience designing and deploying LLM-based systems in production * Practical experience with Retrieval Augmented Generation architectures * Experience with vector databases and embedding pipelines * Strong Python expertise and familiarity with modern AI frameworks * Experience designing model evaluation and validation frameworks * Ability to operate in regulated or compliance-heavy environments * Strong ownership mindset and ability to influence architectural decisions * Confident communication skills in cross-functional environments
Nice to have * Experience in pharmaceutical, healthcare, or other regulated industries * Exposure to explainable AI methodologies or frameworks * Experience with document intelligence and NLP-heavy pipelines * Background in enterprise-scale AI platforms rather than proof-of-concept environments
Benefits
* Solid, competitive salary * Work in a multinational environment on international projects * Comprehensive healthcare * Long-term B2B contract with a stable project pipeline * Fully remote working model
Originally posted on Himalayas