Job Summary :

We are looking for a highly skilled AI/ML Engineer with strong expertise in Machine Learning, Deep Learning, NLP, and Generative AI technologies. The ideal candidate should have hands-on experience in building scalable AI solutions using LLMs, RAG pipelines, AI Agents, and modern ML frameworks.

The role requires strong problem-solving capabilities, production-level AI implementation experience, and the ability to work in a fast-paced Agile environment.

Key Responsibilities :

- Design, develop, and deploy scalable AI/ML solutions for enterprise applications.

- Build and optimize Generative AI applications using LLMs, RAG pipelines, LangChain, and AI Agents.

- Develop intelligent NLP-based systems including embeddings, semantic search, classification, and conversational AI.

- Implement end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, deployment, and monitoring.

- Work with vector databases such as Pinecone or FAISS for semantic retrieval systems.

- Develop REST APIs and AI services using FastAPI or similar frameworks.

- Collaborate with cross-functional teams including Data Engineers, DevOps, Product Teams, and Business Stakeholders.

- Optimize AI models for performance, scalability, cost efficiency, and latency.

- Ensure proper documentation, version control, and deployment practices.

Required Skills :

Programming & Databases :

- Python

- SQL

AI/ML Technologies :

- Machine Learning

- Deep Learning

- NLP

- Predictive Modeling

- Feature Engineering

- Model Evaluation & Optimization

Generative AI :

- Large Language Models (LLMs)

- Retrieval-Augmented Generation (RAG)

- Prompt Engineering

- LangChain / LangGraph

- AI Agents / Agentic AI

- OpenAI APIs

- Hugging Face

Frameworks & Tools :

- Scikit-learn

- TensorFlow

- PyTorch

- FastAPI

- Pandas / NumPy

Vector Databases :

- Pinecone

- FAISS

Cloud & DevOps :

- AWS (EC2, S3, SageMaker, Bedrock)

- Docker

- Git

Experience Required :

- 3- 7 Years of relevant experience in AI/ML and Generative AI technologies.

- Strong hands-on project experience in production-grade AI systems.

- Experience working in Agile development environments.