Machine Learning Engineer
Machine Learning Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Job description
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 AIs potential to change the world.
Job Overview:
Freeday is looking for a motivated Machine Learning Engineerto 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 youll be surrounded by forward-thinking innovative minds and cutting-edge AI technologies. Whether youve had 1 or 3 years of experience we want someone whos 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 were not just about the workwere about you. We embrace a collaborative and innovative culture where ideas flow freely and everyone is encouraged to take ownership. Whether youre developing machine learning models or learning new skills youll be part of a supportive environment where growth and personal development are key.
Job requirements
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 Wed 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
***
Were 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.
All done!
Your application has been successfully submitted!
Employment Type
Full-Time
