4492 - Lead Data Scientist
Innovaccer Inc. (company site, opens in a new tab)6+ yrsNoidaOn-siteDirect career pageEst. 25–40 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Own the end-to-end architecture, deployment, and lifecycle management of AI systems including agentic and retrieval augmented generation (RAG) systems with production-scale reliability and cost optimization.
- Lead and grow a small engineering team building complex LLM-powered products involving multi-agent coordination, memory, retrieval pipelines, and operational evaluation pipelines.
- Define and execute quarterly AI roadmap, collaborate directly with business stakeholders, and ensure AI capabilities integrate seamlessly into healthcare product workflows.
Minimum Requirements
- 6+ years in data science, applied ML, or AI engineering, with 2+ years building LLM-powered products.
- Hands-on Python and deep learning framework experience (PyTorch and/or HuggingFace transformers).
- Experience with multi-agent LLM architectures, retrieval systems, fine-tuning methods (PEFT, LoRA, QLoRA), and ML platforms like Databricks, Azure ML, or SageMaker.
- Experience leading engineers or technical teams; Master's degree in CS, CE, or related field preferred.
Ideal Candidate Profile
- Experienced builder and operator of complex, production-grade AI systems at healthcare or enterprise scale, familiar with orchestration frameworks and evaluation methodologies.
- Comfortable balancing engineering economics (latency, cost, accuracy) and making strategic build-or-buy decisions with measurable impact.
- Ability to translate ambiguous business problems into measurable ML solutions and engage deeply with customers and cross-functional teams.