Machine Learning Engineer developing and deploying ML planning algorithms for autonomous trucks. Join Plus, a leader in AI - based virtual driver software for autonomous trucking.
About the role
- Machine Learning Engineer driving materials discovery and AI adoption in chemistry. Enhancing ML/AI infrastructure and deploying models for production environments.
Responsibilities
- Drive materials discovery and development into a new era.
- Accelerate the adoption of AI in chemistry and materials science.
- Shape and enhance our ML/AI infrastructure with strong support from our platform development team.
- Co-develop both existing and new ML/AI models, actively contributing to the end-to-end lifecycle from design through deployment.
- Oversee data management operations in close collaboration with our platform team to ensure data quality and accessibility.
- Regularly deploy code to production through our CI/CD pipeline, ensuring reliability and robustness in a live environment.
Requirements
- Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, or similar)
- Demonstrated experience in building and/or maintaining ML/AI platforms
- Proven track record of deploying ML models in production environments, including dataset preparation and automation
- Minimum of 3 years’ experience working with cloud providers (AWS)
- At least 4 years of experience with Python or similar programming languages, with extensive experience in production environments
- Solid understanding of container orchestration tools like Kubernetes
- Hands-on experience in frameworks such as Kubeflow, MLflow, and/or Apache Spark
- Strong communication skills with a collaborative approach to working in an interdisciplinary team
- Experience or keen interest in data platform engineering is a plus.
Benefits
- Flexible working hours and home office days.
- 30 days of vacation per year.
- Personal development budget of 1,000 EUR per year.
- Top-notch coffee at our favorite coffee shop next door for only 1 EUR.
- Free fruit and a large selection of drinks (including soda, juices, Mate).
- Work equipment of your choice.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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