Sr. Data Scientist, AI Engineering
Trinity Life Sciences · Bengaluru · onsite · Posted 56d ago
Not disclosed5–8 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
We're committed to bringing passion and customer focus to the business.
Key Responsibilities
Key Responsibilities
- Architect and implement RAG pipelines, agentic AI systems, and LLM-driven applications for enterprise use cases.
- Design and integrate prompt engineering, context management, and knowledge-grounding frameworks to optimize LLM performance.
- Collaborate with data, ML, and software engineering teams to build production-grade GenAI microservices and APIs.
- Evaluate and integrate open-source and proprietary LLMs (e.g., OpenAI, Anthropic, Mistral, Llama, Gemini).
- Design data pipelines for unstructured/structured content ingestion, indexing, and vector retrieval using Milvus, PostgreSQL (pgvector), or similar technologies.
- Define and enforce architecture standards, governance, and best practices for scalable GenAI platforms.
- Conduct PoCs, benchmark model performance, and lead solution transitions from prototype to production.
- Contribute to AI strategy, model lifecycle management, and cost optimization initiatives.
- Bachelor's/Master's degree in Computer Science, AI, Data Engineering, or related field.
- 5–8 years of total experience, with at least 3+ years in AI/ML or NLP systems design.
- Proven experience implementing LLM-based solutions, RAG architectures, and prompt orchestration frameworks.
- Strong Python programming skills and familiarity with frameworks like LangChain, LangGraph, LlamaIndex, or Transformers.
- Hands-on knowledge of vector databases (Milvus, Pinecone, Weaviate, Chroma) and knowledge graph systems (Neo4j, RDF).
- Experience deploying and managing AI workloads on cloud platforms (GCP, Azure, AWS).
- Understanding of MLOps/GenAIOps, model evaluation, and observability practices.
- Strong problem-solving, communication, and stakeholder management capabilities.
- Experience with multimodal LLMs, agentic reasoning, and tool-using AI agents.
- Exposure to pharma/life sciences or regulated enterprise domains.
- Contribution to open-source AI frameworks or internal AI accelerators.
Sourced from foundit
Skills
knowledge-grounding frameworksPrompt EngineeringPostgresqlGENAI Opscloud platformsapisMLOpsgoogle cloud platformamazon web servicesWeaviateNeo4JChromaDBvector databasesRAG PipelinespgvectorHugging Face TransformersAgentic AI systemsRDFarchitecture standardsPythonPinecone DBMilvusDBknowledge graph systemsMicrosoft AzureLanggraphLangchainGenAI MicroservicesLlamaindexLLM-driven applications
About Trinity Life Sciences
Trinity Life Sciences
Healthcare
500
employees
Waltham
US
₹18L PA avg
Avg at Trinity Life Sciences
About
Trinity Life Sciences is a global consulting firm specializing in the healthcare and life sciences sector. The company provides strategic advisory, analytics, and technology solutions to pharmaceutical, biotech, and medical device organizations. With expertise in market access, commercialization, and evidence-based insights, Trinity helps clients optimize decision-making and drive growth in a complex healthcare landscape.
Industries
Healthcare
Employee ratings
10 reviews
2.8/ 5
Culture
3.0
Career growth
2.0
Work-life
2.4
Employees rate it well for
Company Culture31Job Security31
Find them on