AI Research Engineer (Mumbai)

Uplers; Maharashtra; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Novyte Materials is seeking a skilled researcher to join their AI/ML team in an advanced capacity. The role involves reading and reproducing methods from recent papers, designing experiments, and implementing novel ideas with robust evaluation frameworks.

You will work across GPU clusters, handle multimodal models, LLMs, and memory-based architectures, and contribute to benchmarks and research outputs for publication. This is a full-time position based in India.

Qualifications

• Strong foundation in Mathematics, Probability and statistics and Deep learning.
• Ability to read and critique AI/ML research papers.
• Enjoy understanding research papers and implementing ideas from scratch.
• Experience with experiments and benchmarking practices.

Skills

Papers analysis

Reproduce methods

Hypotheses & experiments

Prototype architectures

Evaluation pipelines

LLMs & multimodal

Fine-tuning techniques

GPU distributed training

Reproducible research

Open-source contributions

Job description

Experience: 1.00 + years

Salary: INR 1000000-1800000 / year (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Office ()

Placement Type: Full time Permanent Position

(*Note: This is a requirement for one of Uplers' client - Novyte Materials)

What do you need for this opportunity?

Must have skills required: Novyte Materials is Looking for:

• Read and critically analyze recent AI/ML research papers.
• Reproduce promising methods and establish strong baselines.
• Form hypotheses, design experiments, run ablations, and analyze results.
• Prototype novel architectures/algorithms and turn ideas into working implementations.
• Build reliable evaluation and benchmarking pipelines.
• Work with LLMs, multimodal models, agents, reasoning systems, retrieval/memory, and scientific AI depending on the research direction.
• Fine-tune and experiment with models using SFT/RL/post-training techniques.
• Run experiments efficiently across GPUs and distributed infrastructure.
• Maintain reproducible research code, datasets, experiment tracking, and documentation.
• Contribute toward research papers, technical reports, benchmarks and open-source releases.

A very strong fundamental in Mathematics, Probability and statistics and Deep learning is a must.

Client is looking for someone who enjoy understanding research papers, questioning the existing approaches, implementing ideas from scratch.