On-siteSeniorData Scientistposted 4mo ago

✦Role summaryAI-generated

This role focuses on developing and deploying advanced GenAI solutions using LangChain, RAG pipelines, and multi-modal LLMs, while building FastAPI services and Dockerized deployments on cloud platforms such as AWS, Azure, and GCP. Candidates will collaborate with UI/UX teams and leverage BI tools like Power BI or Tableau to deliver AI-driven insights and analytics.

Skills required

Python SQL Spark AWS GCP LangChain RAG Embeddings FastAPI Docker NoSQL Azure Generative AI LLMs Data science Fine-tuning Power BI Tableau AI

About this role

Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).
Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.
- Experience with GenAI/ LLM tools (3-6 years practitioner in data science): LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques ()
Experience in building FastAPI-based services and Dockerized deployments
Experience building production-grade GenAI solutions
Familiarity with:
- Multi-agent architectures and orchestration
Exposure to enterprise analytics / BI tools:
- Power BI, Tableau, or other visualization tools
Experience collaborating with UI/UX teams for AI-driven solution delivery

Responsibilities

Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).
Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.
- Experience with GenAL/ LLM tools: LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques
Experience in building FastAPI-based services and Dockerized deployments
Experience building production-grade GenAI solutions
Familiarity with:
- Multi-agent architectures and orchestration
Exposure to enterprise analytics / BI tools:
- Power BI, Tableau, or other visualization tools
Experience collaborating with UI/UX teams for AI-driven solution delivery

Qualifications

Strong understanding of AI system evaluation, GenAI pipeline, AI application monitoring, and guardrails
B.Tech / B.E. (Preferably from Tier-1 institutes)

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