Machine Learning Engineer

Darmstadt, Germany/Remote
Added: April 25, 2024

About Solenix and our qualities

Solenix is a privately owned and international company providing engineering and consulting services in the space market, with branches in Germany, Switzerland, and Italy.

We are known for high-quality services, user-oriented solutions, reliable partnerships and constructive collaboration. Our customers include space agencies such as ESA, EUMETSAT and DLR, as well as large private sector companies.

Solenix is specialized in distributed systems and client applications and applies modern technologies with a focus on high-performing, robust and light solutions.

Why should you apply?

Solenix is a group of motivated, dynamic and creative people who enjoy high-quality work, as well as a relaxed and flexible work atmosphere.

You can expect a friendly working environment, exciting and challenging projects and varied team events.

Solenix focuses on solution-oriented and innovative approaches.

You can look forward to benefits like: hybrid-work concepts, training opportunities, unique community spirit, company events, social clubs, retirement, and health insurance plans.

Job Description

We are looking for a Machine Learning Engineer to join our Engineering Division in Germany. This role covers the different phases of ML model operationalization including model optimization, building MLOps infrastructure for experimentation, model management, containerization, deployment, and model performance monitoring.

Required Skills and Experience

  • Bachelor or Master in Computer Sciences, preferably with a focus on software engineering
  • 4 years of professional experience in machine learning
  • Pro-active attitude with initiative and interest in challenging solutions
  • Excellent communication skills in an international environment
  • Fluency in English, both spoken and written particularly in technical documentation
  • Proved knowledge of foundational concepts of MLOps, application development, infrastructure management, and data engineering
  • Hands-on experience in the following technologies is required:
  • MLOps tools like MLRun, Kubeflow, MLFlow or similar
  • OpenAPI and RESTful Services
  • Linux/Unix environments
  • Python
  • Kubernetes

Desirable Skills and Experience

  • Hands-on experience with TensorFlow, PyTorch, NumPy or similar
  • Continuous integration environments and source control management systems and their respective tools, e.g. GitLab and SonarQube
  • Experience with code-as-infrastructure tools like Terraform or similar
  • Experience with development of Cloud Native Applications and Cloud Environments (e.g., GCP)
  • SQL Databases (PostgreSQL and/or MariaDB) and Time Series Databases
  • Experience with the implementation of Data Apps using Streamlit, Plotly Dash, or similar

Work Location

Darmstadt, Germany

We follow a hybrid scheme, which means you are expected to work two days per week at our office (or more if you like), and on the remaining days you can work from home.

Application Deadline: 30 April 2024

Start of Work: As soon as possible

Grow with us and become part of our Solenix family. We look forward to welcoming you. Make the change and apply now!