Role

• Lead end-to-end development of ML/DL models from data preprocessing to model deployment.
• Design and implement advanced solutions using computer vision, NLP, and generative AI models (e.g., Transformers, GANs).
• Apply and experiment with agentic AI approaches to build autonomous decision-making systems.
• Collaborate with engineering, product, and business stakeholders to align AI solutions with business outcomes.
• Work with large-scale datasets and implement MLOps pipelines for automated training, evaluation, and deployment on cloud (Azure preferred).
• Stay up to date with the latest AI research and apply state-of-the-art techniques in production systems.
• Mentor junior data scientists and contribute to AI knowledge sharing across teams.

JD

• 4+ years of industry experience in data science, ML, or AI, with demonstrated project ownership.
• Proficiency in Python and frame...