AI/ML Engineer

Role Overview:
We are looking for an experienced AI/ML Engineer with 3+ years of hands-on experience to design, build, and deploy machine learning and generative AI solutions, including LLM-based applications, RAG pipelines, and production-grade model deployments. This is a fully remote position.

Key Responsibilities:

• Develop and fine-tune ML/DL models using PyTorch/TensorFlow for various business use cases
• Design and implement RAG (Retrieval-Augmented Generation) pipelines using vector databases and Azure AI Search
• Build LLM-powered applications leveraging Azure OpenAI, LangChain/LangGraph, and Semantic Kernel
• Apply prompt engineering techniques to optimize model outputs for accuracy and relevance
• Develop NLP solutions for text classification, extraction, and generation tasks
• Build and expose model-serving APIs using FastAPI/REST
• Implement MCP (Model Context Protocol) integrations for tool-augmented AI workflows
• Manage the ML lifecycle using MLflow, including experiment tracking and model versioning
• Deploy, monitor, and maintain models in production, ensuring performance and reliability
• Work with Hugging Face libraries and pretrained models to accelerate development
• Collaborate effectively with a distributed, remote team across time zones

Required Skills & Experience:

• 3+ years of professional experience in AI/ML engineering or a related role
• Strong proficiency in Python, Pandas, NumPy
• Solid understanding of Machine Learning and Deep Learning fundamentals
• Hands-on experience with PyTorch or TensorFlow
• Experience with NLP and Generative AI/LLM applications
• Practical experience building RAG pipelines and working with vector databases
• Familiarity with Azure OpenAI and Azure AI Search
• Experience with LangChain/LangGraph and/or Semantic Kernel
• Exposure to MCP-based tool integrations
• Experience with FastAPI/REST API development
• Understanding of MLOps practices, MLflow, model deployment, and monitoring
• Proven ability to work independently and communicate effectively in a remote setup

Pay: ₹1,200,000.00 - ₹1,800,000.00 per year

Benefits:

• Cell phone reimbursement
• Health insurance
• Leave encashment
• Paid time off
• Provident Fund
• Work from home

Experience:

• AI/ML: 3 years (Required)

Work Location: Remote