Minimum Required Experience : 6 years

Full Time

Skills

Llm

Retrieval-Augmented Generation

Transformers

Gen AI

Python

Knowledge Graph

Nlp

Data Science

Description

Job Description: Data & AI Engineer (6–8 Years)
Role Overview: Seeking a Data & AI Engineer with 6–8 years of experience to build scalable data pipelines and AI/ML solutions, with a focus on NLP, LLMs, and Generative AI technologies.

Key Responsibilities

- Design and maintain data pipelines for structured/unstructured data
- Develop and deploy ML/NLP models using Python and transformer-based architectures
- Build LLM and GenAI solutions, including RAG pipelines
- Implement knowledge graphs and semantic search capabilities
- Deploy models and manage MLOps workflows (CI/CD,



monitoring)
- Collaborate with stakeholders to translate business needs into AI solutions
- Stay updated with emerging AI and GenAI trends

Required Skills

- Python programming
- Experience in NLP, ML, Data Science
- Robust knowledge of LLMs, Transformers (BERT, GPT), GenAI
- Hands-on with RAG, embeddings, vector DBs (FAISS/Pinecone)
- Familiarity with knowledge graphs (Neo4j, RDF)
- Experience with TensorFlow/PyTorch, Hugging Face, LangChain
- Exposure to cloud (AWS/Azure/GCP) and MLOps (Docker, CI/CD)

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