AI/ML Engineer

r3 Consultant; Gurugram District; Hybrid; INR 1,600,000 - 2,200,000; Full time

Job summary

r3 Consultant in Gurugram is seeking an AI/ML Engineer with 4-7 years of experience to develop scalable AI solutions. The ideal candidate should have strong expertise in Machine Learning, Deep Learning, and NLP, along with hands-on experience in Generative AI technologies.

This role involves designing AI/ML solutions, optimizing models, and collaborating with cross-functional teams in a hybrid work environment.

Qualifications

• 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.

Responsibilities

• Design, develop, and deploy scalable AI/ML solutions for enterprise applications.
• Build and optimize Generative AI applications using LLMs and RAG pipelines.
• Implement end-to-end ML pipelines and ensure proper documentation.

Skills

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Python

Generative AI

Retrieval-Augmented Generation (RAG)

Feature Engineering

Model Evaluation & Optimization

Agile Development

Tools

TensorFlow

PyTorch

FastAPI

Scikit-learn

Pinecone

FAISS

Docker

AWS

Job description

Overview

Job Title: AI/ML Engineer. Experience: 4-7 yrs. Location: Gurugram (Hybrid). Budget: 16-22 LPA. Full-Time.

NP - Immediate Joiners to 15 Days Preferred.

Candidates with prior experience in reputed MNCs preferred.

Job Summary

Quadrafort is 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.

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

• 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.