Data Driven | Machine Learning Engineer

Company Description

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.


Job Description

We are looking for a Machine Learning Engineer to join our Data-Driven Intelligence:


Qualifications

• SQL, Python or Scala code/snippets, Spark (RDD and Dataset), Feature Engineering and Machine Learning.
• Machine Learning pipelines including package environment configurations, data profiling during training and profile checking.
• Inference pipelines, namely batch inference and online inference.
• CI/CD pipelines for Anaytics with MLOps.
• Configuring access to datasets via ML pipelines.
• Inference pipelines monitoring scheme, namely data drift (online) and model drift (offline).

Additional Information

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.