
Data Scientist – Generative AI Specialist
2 weeks ago
About the Role
We are looking for a
Data Scientist – Generative AI Specialist
with strong expertise in
LLMs, Agentic AI, RAG pipelines, and NLP applications
. The ideal candidate will have hands-on experience in building and deploying generative AI solutions, leveraging Azure AI services, vector databases, and modern MLOps practices.
Key Responsibilities
- Design and implement
Generative AI and Agentic AI solutions
using LLMs and NLP techniques. - Build and optimize
RAG pipelines, embeddings, semantic search, and knowledge graph–driven systems
. - Develop
prompt engineering strategies
for improving LLM accuracy and efficiency. - Work with
Azure AI stack (Azure OpenAI, Cognitive Services, Azure ML)
for AI solution development. - Deploy and orchestrate AI applications using
LangChain, Hugging Face, and agentic AI frameworks
. - Integrate AI solutions with
vector databases (Faiss, Redis, etc.)
. - Collaborate with MLOps and DevOps teams to establish
CI/CD pipelines, MLflow tracking, and scalable deployments
. - Write production-grade code in
Python, FastAPI
, and ensure robust API integrations. - Collaborate with cross-functional teams to
debug, optimize, and continuously improve AI models
.
Required Skills
- Generative AI, Agentic AI, LLMs, NLP
- RAG pipelines, Knowledge Graphs, Prompt Engineering
- Azure OpenAI, Cognitive Services, Azure ML
- LangChain, Hugging Face
- Python, FastAPI, OpenAI APIs
- Vector Databases (Faiss, Redis)
- Embeddings & Semantic Search
- MLOps, CI/CD, DevOps, MLflow
- Cloud platforms: Azure, AWS, Databricks
Who Should Apply
- 3+ years of experience in Data Science with a
focus on Generative AI applications
. - Strong problem-solving, debugging, and optimization skills.
- Passionate about building next-gen AI systems that are
scalable, reliable, and production-ready
.
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