Join a global organization dedicated to improving health outcomes through technology. As an AI/ML Engineer with Full Stack expertise and Kafka proficiency, you will contribute to advancing health optimization. Our inclusive culture fosters collaboration, professional growth, and the opportunity to make a real impact.

We believe in the power of connection, care, and growth. Be part of a team that leverages cutting-edge technology to empower millions in their journey towards healthier lives.

Develop and implement advanced AI/ML solutions, with a strong emphasis on GenAI, LLMs, and RAG architectures. Integrate these solutions into enterprise applications using Azure services, including Azure Document Intelligence. Design and build robust technical solutions that prioritize scalability, extensibility, security, and cost-efficiency.

Translate product requirements into actionable technical plans and user stories. Collaborate closely with product and development teams, offering technical guidance and support. Own features from conception to delivery, ensuring timely and high-quality outcomes. Drive innovation in application technology stacks.

Possess a Bachelor's degree in Computer Science, IT, Math, Statistics, Engineering, or equivalent practical experience. Bring at least 6 years of hands-on experience in AI/ML engineering or related fields.

Demonstrate strong programming skills in Python and extensive experience with ML frameworks like PyTorch and TensorFlow. Proficiency in Java, Spring Boot, and Kafka is essential. Experience with React, TypeScript, Snowflake, and Big Data for reporting is also required.

Excellent written and verbal communication skills are crucial for stakeholder engagement. Ability to analyze complex problems and provide comprehensive technical solutions is a must. Experience in the healthcare industry and Agile environments is preferred.