PA
PartSpaceMachine Learning Engineer – m/f/d
Machine Learning Engineer responsible for optimizing AI pipelines at Easy2Parts. Join a growing team to revolutionize component sourcing with AI technology.
About the role
- Architect and manage scalable cloud infrastructure workloads, including container orchestration and automated testing.
- Partner closely with data scientists and research teams to translate experimental models into robust, production-ready systems.
- Establish infrastructure as code, CI/CD pipelines, automated deployments, and comprehensive logging/monitoring.
- Build and optimize data infrastructure and data lake architectures to support analytics at scale with high performance and governance.
- Collaborate across engineering and research teams to operationalize models and maintain production reliability.
Requirements
- 5+ years of experience after completing higher education.
- Advanced Python programming experience (production Python, FastAPI, Flask, testing frameworks).
- Hands-on experience with major cloud platforms (AWS, GCP, or Azure) and Kubernetes services (EKS/GKE/AKS).
- Experience collaborating with data science or research teams to translate experimental code into production.
- Strong software engineering fundamentals: version control, testing strategies, software architecture principles, async programming, and concurrent system design.
- Experience designing and implementing scalable data infrastructure using distributed computing frameworks (Apache Spark or similar) and data lake architectures, ensuring performance, reliability, and data governance.
- ML experience not required but must have clear motivation to work in ML.
- English proficiency minimum B2.
- Nice to have: familiarity with ML libraries (PyTorch, scikit-learn, numpy).
- Nice to have: experience building production ML pipelines, MLOps tools (MLflow, Kubeflow), container technologies (Docker, Kubernetes), inference engines (vLLM, SGLang), distributed computing (Ray.io), data labeling platforms (Label Studio), managed ML services (SageMaker, Vertex AI).
Benefits
- Join a pioneering joint venture at the intersection of AI and industry transformation.
- Work with a diverse and collaborative team of experts from various disciplines.
- Opportunity for professional growth and continuous learning in a dynamic field.
Job title
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Not specified
Degree requirement
Tech skills
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NO
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