Machine Learning Engineer

Location: Rheine

We develop digital products and services for monitoring, diagnosing, and optimizing industrial systems. Our data‑driven solutions combine deep domain expertise with modern software architecture and excellent experience. To strengthen our team, we are looking for an experienced

Machine Learning Engineer (MLOps) (m/f/d)

Your mission: 

As a Machine Learning Engineer (MLOps) you will help turn complex data into reliable insights that drive smarter decisions. You will design and optimize data pipelines and MLOps workflows that transform raw data into valuable insights.  

Working with modern Azure technologies, including Azure Databricks, you will ensure reliable, secure, and high-quality data throughout its lifecycle. By monitoring, improving, and documenting data solutions, you will help keep our analytics and AI applications running smoothly.

Your responsibilities:

• Collaborate with data scientists, data engineers, and software developers to design, build, and maintain data pipelines.

• Implement MLOps practices to streamline the deployment and management of machine learning models.

• Develop and optimize ETL (Extract, Transform, Load) processes for ingesting, processing, and transforming raw data into usable formats.

• Work closely with Azure services, including Azure Databricks.

• Ensure data quality, reliability, and security throughout the data lifecycle.

• Monitor and troubleshoot data pipelines to ensure smooth operations.

• Track data lineage and maintain documentation for data assets.

• Participate in code reviews and contribute to best practices for data engineering and MLOps.

Your profile:

• Bachelor's degree in computer science, engineering, or a related field.

• Strong coding skills in Python and SQL.

• Experience with big data technologies such as Hadoop and Spark.

• Familiarity with Azure services, especially Azure Databricks and Azure Data Factory.

• Knowledge of MLOps principles and practices.

• Background in software development and version control (Git).

• Excellent problem-solving skills and attention to detail.

• Effective communication and collaboration skills.

Nice-to-Have:

• Experience with Databricks platform.

• Experience in condition monitoring or other physical data processing industry

• Familiarity with feature engineering and serving.

• Understanding of data governance and access controls.

Why Join Us:

• Opportunity to work on cutting-edge projects at the intersection of data engineering and machine learning.

• Collaborative and inclusive work environment.

• Competitive compensation and benefits package.

• Professional growth and development opportunities.

What We Offer:

• A responsible role with significant creative freedom

• Work on technically challenging and future-oriented products

• Close collaboration with experienced experts in hardware, software, and cyber security

• International environment with short decision-making paths

• Opportunity to take on leadership responsibilities as part of your professional and personal development

Our Promise:

• Flexible working hours and home office opportunities

• Attractive compensation package including tax‑free benefits (e.g., Sodexo meal vouchers and fuel vouchers)

• Height-adjustable desks in small offices (2–3 people)

• Strong commitment to sustainability (solar power, waste separation, orchard meadow, etc.)

• Bicycle leasing via BusinessBike

• Table soccer and table tennis for breaks

• Unforgettable company parties

Contact

Interested? We look forward to receiving your application!

If you’re passionate about machine learning and keen to transform out models into product ready features, we’d love to hear from you! 

Apply now and let’s build the future together.