AI/ML Engineer

Role Overview

We are looking for an AI/ML & Generative AI Engineer responsible for developing, fine-tuning, evaluating, optimizing, integrating, and deploying AI models across Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, and Machine Learning. The candidate should be capable of working with both pretrained open-source models and custom-trained models to build production-ready AI solutions.

Responsibilities

• Work with pretrained Large Language Models such as Gemma, Llama, Mistral, Qwen, and similar open-source models.
• Fine-tune LLMs using organization-specific or domain-specific datasets using techniques like LoRA and QLoRA.
• Develop Retrieval-Augmented Generation (RAG) applications, including document ingestion, chunking, and managing embeddings.
• Work with vector databases such as FAISS, Chroma, Qdrant, or Pinecone.
• Train and fine-tune Computer Vision models using YOLO and OpenCV.
• Build APIs for AI model inference using frameworks such as FastAPI or Flask.
• Containerize AI applications using Docker and deploy on GPU servers or cloud infrastructure.

Requirements

• 0–2 years of practical experience in AI/ML, Generative AI, LLMs, NLP, Computer Vision, or related development.
• Strong practical projects involving LLM fine-tuning, RAG, Computer Vision, or production AI integration.
• Ability to manage the complete AI lifecycle from data preparation to deployment and monitoring.

Skills

• Python
• PyTorch
• LangChain
• FastAPI
• Docker