Machine Learning Engineer Senior

ML Engineer Senior

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 the 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 potential strong impact of this project on clinical research, the expectation from different health stakeholders (notably hospitals and pharmaceutical laboratories) is considerable.

The team of Sancare is composed of fifty collaborators specialized 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.

Post Description

Main Missions

The current needs in ML development at Sancare are multiple and varied but with a strong focus on 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
• Contributing to the team's upskilling on MLOps aspects
• Propose and implement MLOps standards

Sancare Benefits

• Superb premises in the heart of Paris (Châtelet)
• Flexible work organization (109 days of telework per year for civil year employees on day allowance: two days of telework possible per week and this day allowance can be carried to 131 days of telework if employees on day allowance justify a travel time home-office exceeding 3 hours per day: two to four days of telework possible per week for persons 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 7 years of experience in a similar position
• Understanding of ML challenges
• Very good mastery of Python
• Expertise in system design
• Knowledge of the MLOps ecosystem
• Complete mastery of Linux environments

Interview Process

• HR interview
• Technical interview with the team
• Interview with our CEO