Machine Learning Engineer
5 dagen geleden
At Enjins, we're committed to building AI solutions for meaningful change. Our portfolio includes partnerships with renowned names like Crisp, Groendus, SnappCar, Tier Mobility, Independer, and PlanBlue. We're a dynamic team at the forefront of Data & AI technology, with a strong branding that resembles quality, innovation, and pragmatism.
Job DescriptionWe're seeking an ambitious Machine Learning Engineer to join our growing team. As a key member, you'll work on developing and implementing robust ML applications for our clients in ClimateTech, Mobility, and Marketplaces. You'll apply your data engineering, computer science, and machine learning knowledge on projects, working with the latest technologies such as Kubernetes, Airflow, and Kafka.
Responsibilities- Develop and implement robust ML applications for our clients.
- Work in small teams on ML projects for innovative Dutch & foreign clients.
- Apply your data engineering, computer science, and machine learning knowledge on projects.
- 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 creating ML models and bringing them to production.
- A dedicated training program to improve your skills (MLEAP) and 1-on-1 coaching from Leads and our C-Level.
- A dynamic team at the forefront of Data & AI technology.
- A global environment with monthly social events such as themed parties, board game nights, sports tournaments, and pub quizzes.
- An Apple MacBook Pro for work.
- 28 vacation days (based on full-time employment), comprising 20 statutory vacation days and an additional 8 days provided by the employer.
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