Description :

- 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.

WHAT WE VALUE :

We value diversity, equity, and inclusion, and we understand the value of developing a team with different perspectives, educational backgrounds, and life experiences. We prioritize diversity within our team, and we welcome candidates from all gender identities, castes, religious practices, sexual orientations, and abilities among many others.

We encourage people from all backgrounds to apply.