AI/ML Engineer

• *JD\-AI/ML Engineer : Gurugram**

• *Mode:Hybrid**

• *Full\-Time**

• *Virtual Interviews**

• *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**

• 4–7 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.

Pay: ₹1,600,000\.00 \- ₹2,200,000\.00 per year

Benefits

• Paid sick time
• Paid time off

Application Question(s)

• Notice Period
• Expected CTC

Experience

• AI/ML Engineering: 3 years (Required)

Work Location: Hybrid remote in Gurgaon, Haryana