Senior AI and ML Engineer

Responsibilities

• Take ownership of designing, developing, testing, deploying, and maintaining machine learning models and AI-powered systems (including LLM-based applications) for consumer-facing platforms.
• Participate actively in the full AI lifecycle: contributing to brainstorming and conceptualization, rapid prototyping and experimentation, and writing high-quality, robust production code.
• Contribute significantly to the architecture, implementation, and management of cloud infrastructure for AI solutions, utilizing Infrastructure as Code principles for reliable deployments.
• Design and build reusable AI/ML platforms, components, and frameworks to accelerate innovation and improve engineering efficiency across the Consumer Engineering team.
• Provide technical guidance and mentorship to junior engineers through code reviews, design discussions, and knowledge sharing. Lead by example in technical best practices.
• Collaborate closely with product managers, designers, and other engineers to understand requirements, refine technical approaches, and deliver scalable, impactful AI solutions.
• Stay current with the latest advancements in AI/ML and software engineering, evaluate new technologies, and propose innovative ways to tackle healthcare challenges.
• Troubleshoot complex technical issues, identify root causes, and implement effective solutions in both development and production environments.
• Contribute to a team culture focused on technical excellence, continuous learning, and curiosity