Senior AI Engineer

Overview

Job Overview :-

We are looking for a Machine Learning Engineer / Data Scientist with a strong background in Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs). The ideal candidate has 4+ years of ML/NLP experience and at least 1 year of hands-on experience with LLMs, including fine-tuning, retrieval-augmented generation (RAG), and AI-driven agents.

You will work on developing and fine-tuning transformer-based models, building AI-powered agents, and implementing generative AI solutions for real-world applications. If you're excited about LLM advancements and AI-driven automation, this role is for you.

Key Responsibilities

• Fine-tune and optimize LLMs (GPT, LLaMA, Mistral, Falcon, T5, etc.) for domain-specific applications.
• Develop and integrate AI agents using CrewAI, LangChain, AutoGPT, and OpenAI function calling.
• Build and enhance retrieval-augmented generation (RAG) pipelines with FAISS, Pinecone, ChromaDB, and Weaviate.
• Design NLP models for text classification, summarization, NER, question answering, and conversational AI.
• Optimize embedding-based search, semantic retrieval, and transformer-based models for AI-driven workflows.
• Evaluate model performance, mitigate bias, and improve model interpretability using responsible AI techniques.
• Stay updated with the latest LLM advancements and contribute to open-source AI research and applications.

Required Qualifications & Skills

• Machine Learning & NLP: 4+ years in ML/NLP/Deep Learning, with at least 1+ year working on LLMs.
• Programming: Python (PyTorch, TensorFlow, JAX).
• LLM Fine-Tuning: LoRA, QLoRA, PEFT, Instruction Tuning.
• AI Agents & Orchestration: CrewAI, LangChain, AutoGPT.
• Retrieval-Augmented Generation (RAG): FAISS, ChromaDB, Pinecone, Weaviate.
• Deep Learning Frameworks: Hugging Face Transformers, OpenAI APIs, LLaMA models.

Good-to-Have:

Experience with multi-modal AI (text-to-image, speech-to-text, etc.).

Knowledge of contrastive learning, RLHF (Reinforcement Learning with Human Feedback).

Contributions to open-source AI projects or research papers.

Experience & Education Requirements

4+ years of experience in ML/NLP, with 1+ year working on LLMs.

Bachelor’s/Master’s degree in Computer Science, AI, Machine Learning, or a related field.

Publications or open-source contributions in AI/ML are a plus.

Job Types: Full-time, Permanent

Pay: Up to ₹2,000,000.00 per year

Benefits:

• Food provided
• Health insurance
• Leave encashment
• Paid sick time
• Paid time off
• Provident Fund

Schedule:

• Day shift
• Monday to Friday

Application Question(s):

• How much experience you have with LLMs
• How soon you are available to join?
• What's your current location?

Work Location: Hybrid remote in Indore, Madhya Pradesh