Description

You build and maintain AI/ML applications, focusing on Generative AI, NLP pipelines, and LLM integration.

This role is on-site.

Responsibilities

• Develop and optimize NLP pipelines for text processing, classification, and semantic search.
• Implement Retrieval-Augmented Generation (RAG) systems using vector databases and embedding models.
• Build scalable APIs and AI services using FastAPI and Python.
• Design prompts, evaluate LLM responses, and assist in model training and fine-tuning.
• Collaborate on deploying and monitoring AI applications in production using MLOps tools.

Required Skills

• Strong proficiency in Python programming.
• Experience with Machine Learning, Natural Language Processing, and Generative AI.
• Hands-on knowledge of PyTorch, TensorFlow, Hugging Face Transformers, and LangChain.
• Understanding of MLOps concepts and tools.
• Familiarity with LLMs, Prompt Engineering, and RAG architectures.
• Experience building chatbots, AI assistants, or NLP applications.

Preferred Skills

• Knowledge of vector databases (Pinecone, Weaviate, Qdrant, ChromaDB) and SQL.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Contributions to open-source AI projects.

Key Skills

Education

Any Graduate