Machine Learning Engineer
3 weken geleden
At Enjins, we're committed to building AI solutions for meaningful change. We do this for customers in industries where a positive change can be made: Climate tech, Mobility and Marketplaces. Our portfolio includes partnerships with renowned names like Crisp, Groendus, SnappCar, Tier Mobility, Independer, PlanBlue.
Job DescriptionWe're looking for a talented Machine Learning Engineer to join our growing team. As a Machine Learning Engineer, you'll work on developing and implementing robust ML applications for our clients. You'll apply your data engineering, computer science, and machine learning knowledge on projects and work with the latest technologies such as Kubernetes, Airflow, and Kafka.
Responsibilities- Develop and implement robust ML applications for our clients.
- Apply your data engineering, computer science, and machine learning knowledge on projects.
- Work with the latest technologies such as Kubernetes, Airflow, and Kafka.
- Translate the implications of the project to business stakeholders and focus on the human aspects to increase the impact of our ML applications.
- Bachelor's or Master's Degree in Computer Science, Software Engineering, or another relevant technical degree.
- Extensive software engineering experience in Python, SQL, and git.
- Experience with at least one cloud platform (AWS, Azure, or GCP) and its data engineering components.
- Familiarity with software and data engineering concepts like containerization, networking, ETL/ELT-tools, and MLOps.
- Experience with machine learning and knowledge of how to create ML models and bring them to production.
- Join a dynamic team at the forefront of Data & AI technology.
- Flourish in an empowering, innovative, and global environment.
- A dedicated training program to improve your skills and 1-on-1 coaching from Leads and our C-Level.
- Become part of a diverse and driven team enjoying monthly social events.
- Work from our office centrally located in Utrecht.
- Receive an Apple MacBook Pro for work.
- Enjoy 28 vacation days, comprising 20 statutory vacation days and an additional 8 days provided by the employer.
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