Senior AI Scientist

About Us:

Mintelligence is a cutting-edge research and technology firm at the intersection of applied mathematics, statistical learning, and artificial intelligence. We build next-generation trading intelligence systems that empower smarter, faster, and more informed decisions in the complex world of global commodities markets. By combining advanced quantitative modeling with AI-driven insights, were redefining how data becomes strategy and how technology shapes the future of trading.

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 datasetstext, 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.