Research, design, and develop advanced AI/ML solutions across NLP, computer vision, reinforcement learning, and multimodal systems.
Build, train, fine-tune, and evaluate LLMs, transformer-based architectures, and custom deep learning models.
Develop end-to-end ML pipelines, including data ingestion, preprocessing, feature engineering, training, validation, and deployment.
Prototype new AI capabilities; conduct experiments to validate feasibility, performance, and scalability.
Optimize models for latency, throughput, GPU efficiency, and production-readiness.
Collaborate with software engineering teams to integrate AI models into cloud-native platforms and microservices.
Stay up to date with cutting-edge AI research (arXiv, NeurIPS, ICML, ACL, CVPR, etc.) and contribute insights to technical roadmaps.
Evaluate and benchmark emerging open-source models, frameworks, and tooling.
Maintain high-quality documentation, experiment tracking, and reproducible research workflows.