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, we’re 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

• 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.
• 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.
• 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.
• 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.