AI Scientist

5 days ago

Navi Mumbai, Maharashtra, India Weekday AI Full time

This role is for one of the Weekday's clients

Min Experience: 0 years

Location: India, Navi Mumbai

JobType: full-time

Requirements

1. Advanced AI Research

  • Explore and experiment with cutting-edge architectures in LLMs, diffusion models, transformers, multimodal systems, and reinforcement learning.
  • Reproduce top-tier research papers and extend them through original hypotheses and experimentation.
  • Contribute to internal research documentation, benchmarks, and reproducible experiment pipelines.

2. Model Development & Optimization

  • Train, fine-tune, and optimize deep learning models using PyTorch, TensorFlow, or JAX.
  • Work on tokenization design, data augmentation, loss function optimization, and model scaling strategies.
  • Build high-performance training pipelines using GPUs, TPUs, and distributed compute systems.

3. Applied AI & Deployment

  • Translate research concepts into production-ready, high-impact AI models.
  • Develop robust pipelines for large-scale text, vision, structured, or multimodal datasets.
  • Partner with engineering teams to integrate AI models into production environments.

4. Experimentation & Evaluation

  • Design rigorous experiments grounded in scientific and statistical methods.
  • Benchmark models across accuracy, latency, memory efficiency, robustness, and real-world constraints.
  • Conduct detailed ablation studies and communicate findings with clarity and technical depth.
Required Qualifications
  • B.Tech from IITs or other Tier-1 engineering institutions.
Preferred Qualifications
  • Experience working with LLMs, diffusion models, GANs, or transformer-based systems.
  • Research internships, academic projects, or publications in AI/ML.
  • Experience with GPU acceleration, CUDA, distributed training, or frameworks like Ray.
  • Contributions to open-source machine learning libraries.
  • Familiarity with cloud ML environments (AWS, GCP, Azure).
What Makes This Role Exciting
  • Opportunity to work on high-impact, research-grade AI challenges.
  • Access to advanced compute infrastructure and guidance from experienced researchers.
  • Potential to publish research outputs internally or externally.
  • Fast-moving environment built for ambitious, innovation-driven technologists.

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