Machine learning engineer

Werkgever:
Freeday
Regio:
Rotterdam
 
Functieomschrijving

About Freeday:
At Freeday, we aim to unlock human potential by leveraging disruptive technologies and building an AI-powered digital workforce that excels in repetitive tasks. By automating these tasks, we allow people to focus on more creative, rewarding work. We are a young, fast-growing IT company with a dynamic, no-nonsense culture. Located in the heart of Rotterdam, our team is driven by innovation, collaboration, and a passion for AI's potential to change the world.

Job Overview:
Freeday is looking for a motivated Machine Learning Engineer to join our fast-growing AI team. This is an exciting opportunity to take your career to the next level by working on innovative machine-learning solutions that power our automated services. You will be involved in the development, deployment, and optimization of machine learning models, all within a supportive environment that encourages growth and learning.

As a Machine Learning Engineer at Freeday, you'll be surrounded by forward-thinking, innovative minds and cutting-edge AI technologies. Whether you’ve had 1 or 3 years of experience, we want someone who’s eager to learn, thrive in a fast-paced environment, and contribute to the projects that will shape the future of automation.

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.

What We Offer:

  • A dynamic, fast-growing, and innovative work environment.

  • A competitive salary and pension plan.

  • Opportunities for professional development, including learning new machine learning techniques and tools.

  • A fun, inclusive, and collaborative team culture with regular social events, sports activities, and team-building opportunities.

  • The chance to work on impactful projects that automate workflows and unlock human potential.

  • A company laptop to support your work effectively.

  • Room for growth, initiative, and the chance to make a real difference within the team


Our Culture:
At Freeday, we’re not just about the work—we’re about you. We embrace a collaborative and innovative culture where ideas flow freely, and everyone is encouraged to take ownership. Whether you’re developing machine learning models or learning new skills, you’ll be part of a supportive environment where growth and personal development are key.



Requirements:

  • 1-3 years of experience in machine learning or a related role, preferably in the tech sector.

  • Strong programming skills in Python and a good understanding of popular ML frameworks (such as TensorFlow, PyTorch).

  • Basic familiarity with cloud technologies like AWS or Google Cloud.

  • Some experience or familiarity with MLOps tools like MLflow or Kubeflow is a plus.

  • You enjoy tackling challenges, are not afraid to take initiative, and thrive in a fast-paced environment.

  • Passionate about automation, AI, and the potential of technology to solve real-world problems.

  • Great communication skills and a team-oriented mindset.

  • Experience working in security-conscious environments with strict information handling protocols.

Interested?

Do you want to be part of our team? We'd love to receive your resume and a cover letter outlining your motivation and the reason you fit perfectly into our team. If you have any additional questions before applying please reach out to us on vacature@freeday.ai

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We're an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

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