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Data Science Engineer for ClimateTech, Mobility and Marketplaces
4 weken geleden
We are a fast-growing tech scale-up in the AI solutions space, committed to building meaningful change. Our portfolio includes partnerships with renowned names like Crisp, Groendus, SnappCar, Tier Mobility, Independer, and PlanBlue.
Our TeamWe believe that truly remarkable insights and innovative solutions emerge from diverse cultures, knowledge, and experiences among our workforces. Our team is growing rapidly, and we're looking for talented engineers to join us.
Job DescriptionWe're seeking a Senior Machine Learning Engineer to work on developing robust ML applications for our clients in ClimateTech, Mobility, and Marketplaces. You'll be part of our growing Machine Learning team, working on exciting projects that make a positive impact.
In this role, you'll have plenty of room for growth and development. We're flexible and support your ambitions as much as possible. If you're proactive, take responsibility for your work, and enjoy collaborating with small teams, we'd love to hear from you
- You'll become a full member of our ML Engineering team.
- You'll work on ML projects for innovative clients, applying your data engineering, computer science, and machine learning knowledge.
- You'll develop and implement robust ML applications using the latest technologies such as Kubernetes, Airflow, and Kafka.
- You'll translate technical concepts to business stakeholders, focusing on the human aspects to increase the impact of our ML applications.
Your responsibilities will include:
- Developing and implementing robust ML applications.
- Working on ML projects for innovative clients.
- Applying data engineering, computer science, and machine learning knowledge.
- Translating technical concepts to business stakeholders.
To succeed in this role, you'll need:
- A relevant background in Machine Learning Engineering.
- A minimum of 2 years of relevant working experience.
- Ambition, pragmatism, and proactivity.
- The ability to connect with clients at board level.
- Knowledge of Python, SQL, and Git.
If you have experience with cloud platforms (AWS, Azure, or GCP), containerization (Kubernetes & Docker), ETL/ELT-tools, and MLOps, you'll be at an advantage. Additionally, if you're fluent in Dutch and English and eligible to work in the Netherlands, you'll fit right in.
BenefitsWe offer a dynamic environment, empowering innovation and global collaboration. You'll receive:
- An Apple MacBook Pro for work.
- 28 vacation days (20 statutory + 8 additional days).
- The flexibility to utilise 3 national holidays among the 8 days provided.
- Dedicated training and coaching from Leads and C-Level.
- A chance to flourish in a diverse and driven team.
We're looking for someone who wants to contribute to making a positive impact. If you're passionate about Data Science and eager to grow with us, let's discuss this opportunity further.
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Machine Learning Engineer
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