Machine Learning Specialist

Hiring | Gen-AI ML Engineering Specialist

Location: Gurugram / Bangalore / Hybrid

Experience: 7-9 Years

Work Model: Hybrid (2 Days Office)

Job Description

We are looking for a Gen-AI ML Engineering Specialist with strong expertise in Machine Learning, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems.

The ideal candidate should have hands-on experience building, fine-tuning, deploying, and scaling enterprise-grade AI/ML solutions using modern cloud ML platforms and GenAI frameworks. The role involves working closely with global engineering and product teams to deliver production-ready AI applications.

Key Responsibilities

• Design and develop end-to-end ML training and inference pipelines
• Build scalable RAG-based GenAI systems using embeddings, retrievers, and vector databases
• Fine-tune LLM and NLP models for enterprise use cases
• Integrate LLM APIs and AI frameworks into production applications
• Deploy and manage ML models on cloud platforms such as Azure ML and Vertex AI
• Implement ML Ops practices including CI/CD, experiment tracking, and model versioning
• Collaborate with cross-functional teams to deliver scalable AI solutions
• Optimize AI systems for performance, scalability, reliability, and accuracy

Mandatory Skills

• Strong proficiency in Python for ML and AI development
• Hands-on experience with PyTorch and/or TensorFlow
• Strong experience with LLMs, NLP systems, and Generative AI applications
• Experience building RAG architectures and AI orchestration workflows
• Hands-on exposure to vector databases and semantic search systems
• Experience with cloud ML platforms such as Azure ML, Vertex AI, or AWS SageMaker
• Strong understanding of ML Ops concepts and CI/CD pipelines
• Experience with AI frameworks such as LangChain, LlamaIndex, or Semantic Kernel
• Strong debugging, optimization, and problem-solving skills

Good to Have

• Experience with FAISS, Azure Cognitive Search, or Vertex Matching Engine
• Knowledge of MLflow or similar ML Ops tools
• Exposure to enterprise AI platform integrations
• Experience with Docker and Kubernetes
• Masters degree in AI, Machine Learning, Data Science, or related field

Qualifications

• Bachelors degree in Computer Science or related field
• 5+ years of hands-on experience in Machine Learning or AI Engineering
• Proven experience building and deploying production-grade AI/ML systems
• Experience working with enterprise-scale GenAI solutions is highly preferred