Machine Learning Engineer

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The Role:

You will be actively involved in the engineering, design, implementation, and deployment needed to scale the application of our machine learning models. You can take a project from idea to experiment, to prototype, to implementation!

You will work with our development stack consisting of AWS SageMaker, MLFlow, Terraform, and others, and help evaluating and introducing any new tools and technologies that might help us work more efficiently.

You will also actively work on current LLMs, including fine-tuning and productionizing open source models at scale.

Together with other Machine Learning Engineers, you will help define and evolve best practices for our community.

You will interact with various product owners across the company for defining and understanding their problems from a technical perspective, contributing to and driving efficient formulations and solutions to these problems.

You will keep track of the state of the art in MLOps and scalable techniques for machine learning and optimisation, and actively implement them within the group.

Remote location(s): CET timezone

Technical Skills

You have good python skills and experience in applying them to business problems
You appreciate coding rigour and have good software development skills.
You are open to learn and challenge yourself in a fast-paced environment.
You have Industry experience with cloud services for machine learning. Hands-on experience with AWS services.
You have expertise with building scalable ML & LLM solutions
You have good knowledge of Docker and CI/CD
You have good communication skills in English, both written and verbal.
You have experience with building and or using model management tools (e.g. mlflow)
Experience with LLMs is a strong plus.

Optional Skills