WHAT YOU WILL DO :

- Build AI systems end-to-end : curate data, preprocess, prototype, deploy, and monitor performance in production.

- Define success metrics for each model or pipeline and iterate to improve accuracy, relevance, and efficiency.

- Integrate AI features into existing product infrastructure with attention to performance and scalability.

- Provide guidance on best practices and encourage the adoption of cutting-edge AI/ML techniques.

- Document research findings and share knowledge across teams.

- Collaborate with engineers, product managers, designers, and clinical experts to identify where AI can improve user experience and care delivery.

WHO WE ARE LOOKING FOR :

- Bachelor's or Master's in Computer Science, AI, Machine Learning, or related field, or equivalent demonstrated experience through projects.

- Empirical approach to problem-solving : you analyze data, models, and errors methodically to drive measurable improvements.

- Proficient in Python and solid machine learning fundamentals.

- Built and shipped at least one deep learning project (computer vision, NLP, or RL) from dataset curation through model/pipeline building, evaluation, deployment and continuous improvements through iterations.

- Experience with cloud platforms (GCP, AWS, or Azure) and databases (SQL, NoSQL).

- Clear communicator who balances theoretical knowledge with practical constraints.

- You are a builder at heart, obsess about the user problem and solutions you work on, and are innately curious to learn more and get better at what you do.