Senior ML Engineer (Greek Speaking)

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs for payers, self-insured employers, national health systems, and other healthcare organizations. Sword began by reinventing pain care with AI at its core, and has since expanded into women’s health, movement health, and more recently mental health. Since 2020, more than 700,000 members across three continents have completed 10 million AI sessions, helping Sword's 1,000+ enterprise clients avoid over $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies and over 44 patents, Sword Health has raised more than $500 million from leading investors, including Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund. Learn more at www.swordhealth.com. What you'll be doing:

Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development;

Develop and maintain data processing pipelines for getting the data required to build and evaluate models;

Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users;

Share your knowledge and experience of how to build ML systems;

Help grow the AI/ML function by defining and promoting best practices;

Identify and spearhead initiatives for adding AI/ML capabilities to Sword’s products by navigating uncertainty and time-to-value tradeoffs.

What you need to have:

4+ years of professional experience in Machine Learning;

Hands-on experience implementing and maintaining production machine learning systems;

Solid experience in SQL and Python as well as experience developing production software;

Working knowledge of Python data stack (numpy, pandas, matplotlib, scikit-learn, etc);

Experience leading and owning complex and ambiguous projects from ideation to completion/maintenance;

Experience providing technical oversight and mentoring colleagues;

Ability to learn quickly and dive deep into new problems and fields;

Ability to communicate concepts clearly and interface with both technical and non-technical stakeholders;

Ability to prioritize and solve issues according to the team’s direction and goals;

Ability to communicate fluently and confidently in Greek, at a native level.

What we would love to see:

Experience working in a fast-paced environment and wearing different hats;

Experience building data processing pipelines;

Experience shipping applications using LLMs and Generative AI;

Experience using cloud platforms like GCP or AWS.