MLOps Engineer Intern (Alternance)

About Us:

We are a team of physicians, healthcare executives, data scientists, and Tech experts committed to empowering anyone, anywhere with the insights they need to make well-informed healthcare decisions. Through the combined power of AI and big data, we have created the first all-in-one solution that provides our users with everything they need to know about medical professionals and facilities. RYTE transforms the comprehensive data we collect on millions of healthcare providers and medical experts worldwide into knowledge that helps individuals and organizations navigate healthcare systems. Headquartered in Toronto (Canada) and having operations in Canada, France, Kazakhstan, and the Philippines, you will join a truly international, multi-cultural, and dynamic workforce driven toward building something unique and that affects Life and Healthcare on a global scale. For more information about Us, please connect with us at www.ryte.ai.

We are looking for a junior Data Scientist to join the Research and Development team who is willing to learn about the complexities of structured, semi-structured and non-structured text data and have a significant impact on the Healthcare Analytics sector.

This is an internship (alternance) position (that might evolve to a CDI contract) in France.

The Position: Junior MLOps Engineer.

The Role:

As part of the AI and data engineering department, you will work side to side with a team of AI engineers, architects and data scientists located in multiple countries to perform research and development on AI-based technologies applied to Healthcare Analytics.

Requirements

Expected Tasks:

• Work with Product Managers and Engineers and dive deep into Ryte’s collection of structured and non-structured data.

• Actively collaborate in the design of an end-to-end strategy and implementation of scalable machine learning operations to production.
• Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation and investigations on a periodic basis, including:
  • Experimentation tracking
  • Pipelining
  • CI/CD
  • Monitoring
• Track, document and report quality metrics to ensure our models optimal performance and determine its limitations.

Requirements and Qualifications:

• Currently pursuing a Master of Science degree in Computer Engineering, Computer Science, or related discipline.

• Good understanding of Python and/or R.

• Knowledge of SQL and (Azure) Databricks.

• Experience working with tools such as MLflow or Azure ML will be a plus.
• Experience with at least one Deep Learning framework such as TensorFlow, Keras, Azure ML Studio, or PyTorch.
• 1 year of relevant experience with the above-mentioned frameworks will be a plus.

• Good written and verbal communication skills in English are a must.

We would like to thank all Applicants for their interest in this position. Please note that only Applicants selected for an interview will be contacted. Ryte Corp. is an equal opportunity employer. If selected for an interview, please advise our Human Resources team if you require accommodation during the interview and assessment process. We will work with Applicants to accommodate all accessibility needs.

Benefits