Gazelle Global
Machine Learning Engineer
Gazelle GlobalNetherlands2 days ago
ContractInformation Technology

Machine Learning Engineer


As a preferred supplier to one of our biggest financial organisations, I am seeking for a Machine Learning Engineer for a 12-month contract in Netherlands

Responsibilities:

As a Machine Learning Engineer, you will play a crucial role in designing, developing, and maintaining frameworks that are used to train and monitor Machine Learning models. You have a clear understanding on the latest technologies and best practices in bringing a machine learning model into production.


You have an in-depth understanding of the Machine Learning lifecycle and how to apply it in practice. Your role will involve collaborating with cross-functional teams, ensuring high standard of code quality, and contributing to the continues improvement of our machine learning pipelines. This is an exciting opportunity to apply your expertise in Machine Learning and software engineering to contribute to the development of innovative solutions.


Experience:

  • Bachelor’s or master's degree in Computer Science / AI / Software Engineering or similar technical fields
  • Experience with productionalizing Machine Learning models
  • Experience with MLOps principles and striving to apply them in your day-to-day work
  • Experience with MLflow or any other Machine Learning lifecycle platforms
  • Experience with model training, re-training, evaluation and monitoring
  • Knowledge of data and model drift detection
  • Experience with building CI/CD pipelines
  • Excellent in analytical thinking
  • Strong programming skills in Python
  • Creative and problem-solving mindset, proactive and ready to be challenged
  • Excellent communication skills with different stakeholders
  • You are a team player and eager to share your expertise with your team


Please apply with an updated CV, if interested or looking for a new opportunity as soon as possible.


Stefan Owusu-Francois

Recruitment Consultant

Gazelle Global Consulting

Mob: +44 (0) 7985 515893

Tel: +31 (0) 85 009 05 68

[email protected]

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