The Machine Learning Engineer will develop and deploy large language models focused on preprocessing datasets, training, fine-tuning, and maintaining ML pipelines, primarily in healthcare settings.

The Senior User Researcher will lead user research initiatives in healthcare, generating insights to shape products, enhance user experience, and mentor junior researchers.

Lead the strategic direction of the AI-powered cancer detection platform, develop product vision, roadmap, and ensure compliance with healthcare regulations.

The Product Owner will drive the development of an AI-driven healthcare platform by collaborating with cross-functional teams to define and prioritize the product roadmap and ensure compliance with healthcare regulations.

The Lead AI Developer will design and develop AI solutions for enterprise automation, focusing on Gen AI and LLM-based applications, while collaborating with cross-functional teams.

The Data Engineer will develop and optimize data pipelines for healthcare datasets, ensuring data quality and compliance with healthcare regulations, while collaborating with data scientists and engineers.