Job
In this role, you will develop and optimize data pipelines, implement MLOps practices, and work with Azure technologies to provide high-quality data solutions for AI models and manage their lifecycle.
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Job technologies
Your role in the team
- As a Machine Learning Engineer (MLOps), you help turn complex data into reliable insights that drive smarter decisions.
- You design and optimize data pipelines and MLOps workflows that transform raw data into valuable insights.
- Using modern Azure technologies, including Azure Databricks, you ensure reliable, secure, high-quality data throughout its entire lifecycle.
- By monitoring, improving, and documenting data solutions, you help keep our analytics and AI applications running smoothly.
- You work with data scientists, data engineers, and software developers to design, build, and maintain data pipelines.
- You implement MLOps practices to optimize the deployment and management of machine learning models.
- You develop and optimize ETL (Extract, Transform, Load) processes to ingest, process, and transform raw data into usable formats.
- You work closely with Azure services, including Azure Databricks.
- You ensure data quality, reliability, and security throughout the entire data lifecycle.
- You monitor data pipelines, identify and resolve issues, and ensure smooth operations.
- You track data lineage and maintain documentation for data resources.
- You participate in code reviews and contribute to best practices in data engineering and MLOps.
Our expectations of you
Education
- Bachelor’s degree in computer science, engineering, or a related field.
Qualifications
- Strong programming skills in Python and SQL.
- Familiarity with Azure services, particularly 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.
- Familiarity with feature engineering and serving is a plus.
- Knowledge of data management and access controls is an advantage.
Experience
- Experience with big data technologies such as Hadoop and Spark.
- Experience with the Databricks platform is an advantage.
- Experience in condition monitoring or other areas of physical data processing is an advantage.
What we offer
- A responsible role with considerable creative freedom.
- Work on technically challenging, forward-looking products.
- Close collaboration with experienced experts in hardware, software, and cybersecurity.
- International environment with short decision-making paths.
- An opportunity to take on leadership responsibilities as part of your professional and personal development.
- 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.
- Opportunities for career growth and development.
- Flexible working hours and remote work options.
- Attractive compensation package with 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 energy, waste separation, orchard, etc.).
- Bicycle leasing through BusinessBike.
- Foosball and table tennis during breaks.
- Unforgettable company parties.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Prognost Systems GmbH develops innovative online condition diagnosis systems for rotating machines and is a leader in segmented vibration analysis. The company offers tailored solutions for machine protection and condition monitoring.
- Established Company
- Onsite, Hybrid
- Engineering Industry
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