Walk-in || Senior Data Scientist
Description
Role Overview
We are looking for a Senior Data Scientist with strong expertise in AI/ML, Generative AI, LLMs, and Agentic AI to design, develop, and deploy scalable AI solutions.
Key Responsibilities
- Build and deploy LLM-based applications, RAG pipelines, chatbots, and agentic AI systems.
- Develop multi-agent workflows using LangGraph, AutoGen, CrewAI, or Semantic Kernel.
- Implement prompt engineering, embeddings, vector search, LLM evaluation, and fine-tuning.
- Build ML models using Python and libraries such as Pandas, NumPy, Scikit-learn, and PyTorch.
- Deploy AI solutions on Azure or equivalent cloud platforms.
- Develop APIs and implement MLOps/LLMOps practices for production deployments.
- Collaborate with clients and solution teams on PoCs, technical solutions, and AI implementations.
Required Skills
- 45 years of experience in Data Science/AI/ML, including 12 years in Generative AI/LLMs.
- Hands-on experience with Agentic AI frameworks and multi-agent orchestration.
- Strong knowledge of RAG, vector databases, chatbots, and conversational AI.
- Proficiency in Python, SQL, ML algorithms, and statistical analysis.
- Experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, or equivalent services.
- Knowledge of REST APIs, FastAPI/Flask, Docker, Git, and CI/CD.
Good to Have
Experience with responsible AI, guardrails, LLMOps tools, Power Platform, OCR/IDP, or speech AI.
Skills
- Agentic AI
- AI
- API
- AutoGen
- Azure
- CI/CD
- Cloud
- Conversational AI
- CrewAI
- Data Science
- Docker
- Embeddings
- FastAPI
- Fine Tuning
- Flask
- Generative AI
- Git
- LangGraph
- LLM
- LLMOps
- Machine Learning
- MLOps
- NumPy
- OpenAI
- pandas
- Power Platform
- Prompt Engineering
- Python
- PyTorch
- REST
- scikit-learn
- Semantic Kernel
- SQL
- Vector Databases
- Vector Search