Required Skills & Experience

5-8 years of experience in AI / ML

Very strong proficiency in Python

Proven expertise in NLP, including:

Text classification , Clustering

Strong experience in data analysis using SQL

Hands-on experience with LLMs:

Prompt engineering , Evaluation frameworks

Retrieval-Augmented Generation (RAG)

Good to Have

Experience with Agentic AI and multi-agent orchestration

Experience with LLMOps / MLOps in production environments

Cloud Experience

Libraries & Tools

Python / ML: NumPy, Pandas, Scikit-learn, XGBoost

NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers

LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK

Agentic AI (Good to Have): LangGraph, AutoGen, CrewAI

Data & SQL: Oracle, MySQL, SQLAlchemy





Vector Databases: FAISS, Pinecone, Weaviate, Qdrant

LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow

5+ Years in AI / ML

- 5-8 years of experience in AI / ML
- Very solid proficiency in Python
- Proven expertise in NLP, including:
- Text classification
- Clustering

- Strong experience in data analysis using SQL
- Hands-on experience with LLMs:

- Prompt engineering
- Evaluation frameworks
- Retrieval-Augmented Generation (RAG)Role & responsibilities

Preferred candidate profile

📌 GenAI Engineer (Pune)
🏢 SRS Infoway
📍 Pune