Curious about the role?

We are seeking a deeply technical, hands-on, and strategic Data Science Leader to spearhead complex predictive modeling, advanced analytics, and Generative AI initiatives. The ideal candidate must have a strong foundational background as an expert Data Science practitioner who has evolved into a technical leader and architect.

While rooted heavily in classical Machine Learning and statistical modelling, you will be responsible for integrating up-to-date Generative AI capabilities into the core data science toolkit to solve high-impact enterprise challenges. In this role, you will lead high-performing teams to architect, deploy, and operationalize robust, production-grade models on the cloud.

What your typical day would look like?

As part of this role, you will:
- End-to-End Modeling: Lead the full data science lifecycle from sourcing, cleaning, and engineering complex, unstructured data to developing highly scalable models.
- Core Algorithmic Design: Evaluate, select,



and build appropriate Machine Learning and Deep Learning algorithms to ensure model accuracy, optimization, and statistical robustness.
- GenAI & LLM Workflows: Apply recent advancements in Large Language Models (LLMs) and Generative AI frameworks (e.g., LangChain, LlamaIndex) to augment traditional analytics.
- Advanced Architecture: Design and optimize Retrieval-Augmented Generation (RAG) systems, prompt engineering frameworks, and specific fine-tuning pipelines to enhance product features and automation.
- Production-Scale Infrastructure: Architect end-to-end ML production setups, covering robust data ingestion, model training pipelines, and real-time monitoring.
- DS Ops & MLOps Governance: Implement strict governance frameworks and best practices for Data Science Operations (DS Ops). Guide teams on model operationalization, version control, performance tuning, and automated retraining pipelines across major cloud platforms (Azure, AWS, GCP, or Snowflake).
- Team Scaling & M

📌 Principal Engineer (Bengaluru)
🏢 Tiger Analytics
📍 Bengaluru