Machine Learning Engineer
- Published on
About the Role
At Freeday, we aim to unlock human potential by leveraging disruptive technologies and building an AI-powered digital workforce that excels in repetitive tasks. We are looking for a motivated Machine Learning Engineer to join our fast-growing AI team, working on innovative machine-learning solutions that power our automated services.
Responsibilities
- Design, develop, and implement machine learning models to drive our automated services.
- Collaborate closely with product and engineering teams to define project objectives and align machine learning efforts with business goals.
- Optimize machine learning algorithms for scalability and performance.
- Contribute to the deployment of machine learning models in production environments using MLOps practices.
- Continuously learn and adapt to new machine learning techniques and tools.
- Take ownership of your projects while working in close collaboration with more senior team members for guidance and support.
About the Candidate
You should have 1-3 years of experience in machine learning or a related role, preferably in the tech sector. Strong programming skills in Python, coupled with a good understanding of popular ML frameworks like TensorFlow or PyTorch, are essential. Familiarity with cloud technologies (AWS or Google Cloud) and experience with MLOps tools (MLflow or Kubeflow) are a plus. You should possess great communication skills, a team-oriented mindset, and a passion for automation and AI.
About the Company
Freeday is a young, fast-growing IT company located in the heart of Rotterdam. We are driven by innovation, collaboration, and a passion for the potential of AI to change the world. Our culture is dynamic and no-nonsense, promoting an environment where you can take initiative and make a real difference.
Company Culture and Benefits
At Freeday, we celebrate a collaborative and innovative culture where ideas flow freely. We offer a competitive salary and pension plan, opportunities for professional development, and a fun, inclusive team atmosphere with regular social events. Join us to work on impactful projects that automate workflows and help unleash human potential while providing you with the tools to support your work effectively.