AI/ML Engineer

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.

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.