Join a global organization dedicated to improving health outcomes through technology. As an AI/ML Engineer, you will contribute to cutting-edge AI-powered systems that enhance consumer-facing platforms. This role offers a unique opportunity to advance health optimization on a global scale within an inclusive culture that fosters talent development and collaboration. Be part of a team that is Caring, Connecting, and Growing together.

Develop, test, deploy, and maintain machine learning models and AI systems. Participate in the entire AI lifecycle, from conceptualization and prototyping to writing robust production code. Assist in managing cloud infrastructure for AI solutions, adhering to Infrastructure as Code principles. Contribute to and utilize reusable AI/ML platforms to enhance engineering efficiency. Collaborate with product managers, designers, and engineers to deliver scalable AI solutions. Troubleshoot complex technical issues and implement effective solutions. Stay updated with AI/ML advancements and propose innovative approaches to healthcare challenges.

A Bachelor's degree or equivalent experience is required, along with a minimum of 3 years in professional software engineering with a strong focus on production-grade AI/ML systems. Demonstrated expertise in core AI and machine learning concepts, models, and algorithms is essential. Hands-on experience building and deploying LLM applications into production environments is crucial. Familiarity with various ML domains such as Natural Language Processing and Computer Vision is beneficial. Proficiency in backend services (e.g., Python), cloud platforms (AWS/GCP/Azure), CI/CD pipelines, API development, and database technologies is expected. Strong software design, data structures, algorithms, and clean code principles are vital. Proven adaptability, learning agility, and a self-driven ownership mentality are key.