As a member of the Software Data Engineering team, alongside our technical experts, you will get an opportunity to:

• Work and improve on pipelines deployed on insurance claims data, medical coding inference and sentiment analysis on hospital reviews

• Implement and optimize the associated algorithms

• Integrate your contribution in our python/postgresql/elasticsearch stack

• Develop test framework for the models

• Brainstorm on the best ways to deploy our machine learning models at scale

• Continuously provide and implement ideas to improve the solution

Your Profile:

What you need to succeed

• 5+ years of experience in the field of software and data engineering

• Possessing advanced technical skills in probabilistic modeling, computer sciences, statistics and/or operations

• Strong analytical and synthesis abilities, not afraid to deal with details

• Possessing proficient knowledge of Python and Deep Learning Frameworks

• Ability to write quality production code and provide coding review to train and develop the skills of the team

• Ability to manage and lead a team of data engineers to optimize workflow and ensure quality control

• Fluency in English (Both Verbal and written). French and any additional languages are a plus

Bonus skills

• Previous experience with production-grade projects with good software engineering insights

• Previous experience working within an agile framework

• Previous startup or health insurance experience

Benefits of working at Qantev

You’ll join a team of highly skilled and motivated individuals who are willing to share their knowledge and passion for advanced data science, machine learning and computer science. In addition to this we provide:

• Competitive compensation & Equity stake in the company

• Opportunity to take part in scaling a global tech start-up

• Opportunity to be a part of a fun, dynamic and exuberant environment!

• An annual company off-site

• Start-up ecosystem benefits such as a Macbook, Health Insurance, Daily Lunch Vouchers (Swile), Navigo Pass reimbursement