AI/ML Engineer
Gurugram (Hybrid)
Full-Time
Virtual Interviews
Immediate Joiners to 15 Days Preferred
Candidates with prior experience in reputed MNCs preferred.
Budget- 16-22 LPAJob 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.
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 SkillsProgramming & Databases
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
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:
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
Work Location: In person
