This is a remote position.
Role Summary

As a Lead Data Scientist, you will design, build, and scale data science solutions that drive measurable business impact. You lead model development and deployment across modern cloud ML platforms (e.g., Amazon Bedrock, Google Vertex AI, Azure OpenAI), integrate advanced analytics into products and workflows, and mentor a high-performing team. Your work spans statistical modeling, ML engineering, and stakeholder collaboration to turn large datasets into actionable insights and production-grade systems.
What You Will Do
- Deliver generative AI features: design, fine-tune, and evaluate LLM/LMM applications (prompting, RAG, safety, and evals) that ship to production.
- Build agentic AI workflows: plan and execute multi-step tasks with tool use, memory, and orchestration; integrate with internal APIs and data sources.
- Build ship models: Develop, deploy, and scale machine learning models; own full lifecycle from experimentation to production, monitoring, and iteration.
- Integrate analytics:



Embed advanced analytics into applications and systems to enhance functionality and decision-making.
- Deep data analysis: Analyze large, complex datasets to extract insights that inform strategy and product direction.
- Raise the bar on rigor: Apply regression, tree-based methods (Random Forest, Boosting), text mining/NLP, neural networks, and clustering with solid statistical validation.
- Optimize pipelines: Improve performance and reliability of ML pipelines and cloud integrations across AWS, Google Cloud, and Azure.
- Mentor lead: Guide junior teammates; enforce best practices for experimentation, documentation, and reproducibility.
- Partner cross-functionally: Work closely with product, engineering, and business stakeholders to align initiatives with outcomes and timelines.
Requirements
Technical Skills Must Have
- Generative AI: hands-on experience with LLMs/LMMs, prompt engineering, retrieval-augmented generation (RAG), and offline

📌 Lead Data Scientist (India)
🏢 CAMP Systems
📍 India