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
- Strong 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)
