- Work in a fast paced setting

- Work with a global firm

About Our Client

Our client is a global technology services organization specializing in AI, data engineering, and advanced machine learning solutions. They partner with leading enterprises and AI innovators to develop, evaluate, and improve next-generation AI models.

- 2-3+ years of experience in Machine Learning, AI Systems, or Research Engineering with hands-on exposure to LLMs.

- Strong experience in LLM fine-tuning, post-training workflows, SFT, DPO, RLHF/RLAIF, or foundation model adaptation.

- Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, JAX, and Hugging Face.

- Experience designing and implementing evaluation pipelines, benchmarking frameworks, and experiment tracking systems.

- Strong understanding of ML systems engineering, data pipelines, reproducibility, debugging, and distributed training environments.

The Successful Applicant

We're Looking For Someone Who Has





- Hands-on experience building, fine-tuning, and evaluating LLMs or multimodal AI models.

- Strong software engineering capabilities with production-grade Python development experience.

- Expertise in experimentation, model benchmarking, performance optimization, and evaluation methodologies.

- Ability to collaborate effectively with researchers, data engineers, and technical stakeholders in complex AI environments.

- Strong problem-solving skills with the ability to translate research concepts into scalable engineering solutions.

What's on Offer

- A permanent role based in Noida.

- Opportunities to work in the not-for-profit business school sector.

- Exposure to cutting-edge AI/ML technologies.

If this role matches what you're looking for, you can apply.

Quote job ref: JN-092026-7097834

📌 Research AI ML Engineer || Noida || Hybrid
🏢 Michael Page
📍 Noida