Key Responsibilities

• Design, develop, and operationalize machine learning and generative AI solutions for production environments


• Select, fine-tune, and integrate machine learning and foundation models into scalable systems


• Manage the end-to-end machine learning lifecycle, including data preparation, experimentation, deployment, monitoring, and optimization


• Build robust evaluation frameworks to ensure model quality, accuracy, and performance


• Develop and implement solutions using NLP, Large Language Models (LLMs), Agentic AI, and computer vision technologies where applicable


• Build scalable data pipelines, feature engineering workflows, and model serving infrastructure


• Optimize performance, cost, and scalability across cloud and distributed compute environments


• Collaborate with engineering, product, and cross-functional teams to deliver AI-powered so...