8 days ago
Berlin, Germany or Amsterdam, NetherlandsSenior
Responsibilities
- Shape the strategic direction of machine learning infrastructure and identify opportunities for innovation and improvement.
- Develop scalable, reliable, and efficient machine learning systems and production services.
- Architect and oversee complex machine learning pipelines, including real-time and batch inference systems.
- Deploy, optimize, and maintain machine learning models in production environments in collaboration with Data Science.
- Mentor mid-level Machine Learning Engineers, provide technical leadership, conduct code reviews, and promote best practices.
- Communicate machine learning concepts to technical and non-technical stakeholders and guide strategic initiatives.
- Lead the integration of new technologies and tools into the machine learning infrastructure.
Requirements
- Expert-level proficiency with cloud technologies, ideally AWS.
- Extensive experience with containerization and orchestration, preferably Kubernetes.
- Deep understanding of software development, DevOps, and MLOps best practices applied in production.
- Extensive experience designing, deploying, and maintaining scalable models and services in production.
- Strong understanding of machine learning and the ability to collaborate with Data Scientists on model deployment and optimization.
- Experience with MLflow for experiment tracking and model management.
- Experience with Airflow or Dagster for end-to-end machine learning pipeline and workflow orchestration.
- Significant experience with Data Engineering, Kafka, and stream processing.
- Proficiency in Python and SQL; additional programming languages are a strong plus.
- Strong communication, technical leadership, mentoring, and stakeholder presentation skills.
Benefits
- Fully remote work in Canada.
- Hybrid work in Amsterdam, Berlin, or London, UK, with three days onsite and two days remote.
- Inclusive, diverse, and supportive international work environment.
- Employment is conditional on satisfactory background-check results, and employees must sign a Consent for Disclosure of Personal Information.
Tech Stack
Categories
Data EngineeringML Engineering
About Just Eat
Just Eat Takeaway.com builds an online food-delivery and convenience marketplace that connects consumers with restaurants, grocery, and retail partners, supported by courier logistics and merchant tools. It earns primarily through commissions and delivery fees on orders placed via its apps and website. Headquartered in Amsterdam, the company was formed by the 2020 merger of Just Eat and Takeaway.com and is publicly listed on the London and Amsterdam stock exchanges.