Job Summary :

We are looking for a talented AI Engineer with 3 to 7 years of experience in designing, developing, and deploying AI/ML solutions. The ideal candidate should have hands-on expertise in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), Python, and cloud platforms. The candidate will work closely with cross-functional teams to build intelligent applications and optimize AI models for production.

Key Responsibilities :

- Design, develop, and deploy AI/ML models for business applications.

- Build and optimize Generative AI and LLM-based solutions.

- Fine-tune and evaluate Large Language Models (LLMs).

- Develop AI-powered chatbots, virtual assistants, and intelligent automation solutions.

- Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.

- Develop data preprocessing and feature engineering pipelines.

- Integrate AI models with REST APIs and enterprise applications.

- Deploy AI models using Docker, Kubernetes, and cloud platforms.

- Monitor model performance and continuously improve accuracy.

- Collaborate with data scientists, software engineers, and business stakeholders.

- Follow MLOps best practices for model deployment, monitoring, and versioning.

Mandatory Skills :

- Strong proficiency in Python

- Machine Learning (Scikit-learn)

- Deep Learning (TensorFlow or PyTorch)

- Generative AI

- Large Language Models (LLMs)

- Prompt Engineering

- LangChain or LlamaIndex

- Retrieval-Augmented Generation (RAG)

- Vector Databases (FAISS, Pinecone, ChromaDB, Weaviate, Milvus)

- NLP (Natural Language Processing)

- OpenAI, Azure OpenAI, Claude, Gemini, or Hugging Face Models

- REST API Development (FastAPI/Flask)

- SQL and NoSQL Databases

- Docker and Kubernetes

- Git/GitHub

- AWS, Azure, or Google Cloud Platform