AI Scientist
2 days ago
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.
- B.Tech from IITs or other Tier-1 engineering institutions.
- 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).
- 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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