Machine Learning Engineer

Role

Experience

Location

Qualification:

Department:

If interested kindly fill out the form: https://forms.gle/Vww9JxTQEU4BQWDTA

Role Overview

We are building a high-calibre AI team and are looking for an exceptionally driven AI Scientist who thrives at the intersection of deep research, complex problem-solving, and large-scale model innovation. This role is ideal for IIT and Tier-1 graduates who want to work on foundation models, multimodal systems, applied research, and production-grade AI solutions.

You will be contributing to experiments, creating breakthrough prototypes, and working on systems that challenge conventional boundaries.

What You Will Work On:

1. Cutting-Edge AI Research

• Explore and experiment with state-of-the-art architectures in LLMs, diffusion models, transformers, multimodal models, and reinforcement learning.

• Reproduce top research papers and push them further with your own hypotheses and experiments.

• Collaborate on building internal research notes, benchmarks, and reproducible pipelines.

2. Model Development & Optimization

• Train, fine-tune, and optimize deep learning models with PyTorch/TensorFlow/JAX.

• Work on tokenization strategies, data augmentation, loss-function optimization, and scaling laws.

• Design high-performance training loops using GPUs/TPUs.

3. Applied AI & Productization

• Convert research ideas into deployable, high-impact models.

• Build robust ML pipelines that handle large datasets—text, images, structured, or multimodal.

• Collaborate with engineering teams to integrate AI models into live systems.

4. Experimentation & Benchmarking

• Develop experiments using scientific methods and statistical evaluation.

• Benchmark models across accuracy, latency, memory, robustness, and real-world constraints.

• Conduct ablation studies and present learnings with clarity and technical depth.

Required Qualifications

• B.Tech from IITs or Tier-1 institutions

Preferred (Highly Desirable)

• Prior work with LLMs, diffusion, GANs, or transformer models.

• Research internships, projects, or published papers (conference/journal) in AI/ML.

• Experience with GPU acceleration, CUDA, Ray, or distributed training.

• Contributions to open-source ML frameworks.

• Experience with AWS/GCP/Azure ML environments.

What Makes This Role Unique

• Work on research-grade, high-impact AI problems.

• Access to top-tier compute resources and mentoring from senior scientists.

• Opportunity to publish internal/external research work (if pursued).

• Fast-paced, innovation-led environment designed for ambitious technologists.