Experienced Machine Learning Engineer

Machine Learning Engineer

Sancare proposes predictive tools using the latest advances in artificial intelligence to put these data at the service of hospitals and healthcare.

Our first product is already used by sixty hospitals. It allows automatic detection of diagnoses from free text documents and other data contained in patient records, visible in an intuitive and ergonomic web interface, and saves time for doctors and their administrative assistants. We have also developed a new tool facilitating the conduct of real-life studies to evaluate drugs and medical devices. Given the strong potential impact of this project on clinical research, the expectation from different health actors (notably hospitals and pharmaceutical laboratories) is considerable.

The Sancare team consists of fifty specialized collaborators in IT development, machine learning, and healthcare. We are also fortunate to be accompanied by renowned researchers in the field of machine learning, as well as doctors and health experts.

We are looking for a Machine Learning Engineer (F/H) wishing to join a dynamic, experienced, and motivated team, in order to accelerate the arrival of our disruptive solutions in the healthcare world.

Description of the Position

Main Missions

The current needs in ML development at Sancare are multiple and varied but with a strong focus on the industrialization and automation of the ML stack.

This includes:

• Integrating the production of Data Scientists to the ML stack
• Ensuring the industrialization of the ML stack
• Automating ML processes
• Investigating and solving production bugs of the ML stack
• Integrating customer feedback to the ML stack in collaboration with operations

Sancare Benefits

• Superb locations in the heart of Paris (Chatelet)
• Flexible work organization (109 days of telework per year for salaried employees on a daily rate: two days of telework possible per week and this daily rate can be increased to 131 days of telework if the salaried employees on a daily rate justify a travel time home-office greater than 3 hours per day: three to four days of telework possible per week for people more than 1h30 from the office)
• Restaurant vouchers
• Eligibility BSPCE
• Alan mutual
• Hello CSE, etc.
• Regular feedback in various formats (afterworks, seminars, PointTech …) to value the sharing of ideas and common knowledge.

Profile Sought

• At least 3 years of experience in a similar position
• Understanding of ML challenges
• Good mastery of Python
• Notions in system design
• Knowledge of the MLOps ecosystem
• Mastery of Linux environments

Interview Process

• HR Interview
• Technical Interview with the Team
• Interview with our CEO