Specialist – MLOps Engineer

As an MLOps Engineer, the job holder is responsible for efficiently, securely, and scalably bringing machine‑learning models into production and ensuring their long-term operation. The job holder will work closely with Data Scientists, Data Engineers and Business Stakeholders to ensure that ML solutions can be operated in a robust, reproducible, and compliant manner. The job holder will build and operate central platform components, develop automated ML pipelines across the entire model lifecycle, and drive continuous improvement.

MLOps Processes & Workflows

• Build, automate, and operate end-to-end ML pipelines across Snowflake and SAP (training, testing, deployment, monitoring). Ensure reproducibility of models through versioning of data, code, and model artifacts. Develop and maintain CI/CD processes for machine-learning models

Platform & Infrastructure

• Operate and further develop the ML platform, for example Snowflake ML, SAP BTP/Joule, or similar tools. Ensure scalability, security and governance throughout the entire ML lifecycle

Monitoring & Operations

• Build monitoring for model performance, drift, data quality, and infrastructure metrics. Set up alerting mechanisms and automated retraining processes. Troubleshoot and continuously optimize production ML models

Governance & Compliance

• Establish standards for model documentation, auditability, and risk assessment. Ensure compliance with data protection and regulatory requirements for data-driven solutions. Support the introduction of MLOps best practices across the organization

Cross-Functional Collaboration

• Work closely with Data Scientists, Data Engineers and business analysts to understand requirements, align priorities, and ensure stable operations that support business needs

Educational qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, or related field
  Fluent command of English

Technical qualifications

• 5 to 10 years’ experience in analytics environments using Snowflake or SAP
• > 3 years in-depth experience with Snowflake machine‑learning models in a production environment with strong focus on ensuring their long-term operation
• Strong programming skills in Python & SQL and familiarity with common ML frameworks
• Experience building CI/CD workflows with Azure DevOps
• Familiar with data integration tools like Azure Data Factory
• Knowledge of Data Governance (Security, Access control, etc.)
• High level understanding of Data Warehousing concepts & frontend tools for reporting like Power BI
• High level understanding on business processes
• Cross-functional collaboration skills, with the ability to work in unfamiliar domains and quickly understand issues reported by user

Personal behaviour’s

• Analytical and structured approach
• Good communication skills, with the ability to collaborate effectively in a global, cross-functional environment
• Comfort working in international teams, with intercultural competence accepting different working styles
• Problem-solving mindset, treating challenges as opportunities and approaching issues with a positive, solution-oriented attitude
• Strong assertiveness and willingness to take over responsibility
• Growth mindset, showing curiosity, openness to learning new domains, and a willingness to continuously improve both technical and personal skills

tesa is one of the world's leading manufacturers of adhesive tape solutions, with a range of more than 7,000 products. With passion for technology, we drive innovation, reliability, and sustainability to shape a better future.

Our solutions make a difference in the work, products, and lives of our customers across a variety of industries, including Automotive, Electronics, and Home applications. With this, we address a broad segment of business customers, but also you as a private consumer.

You might be surprised to discover the many places where our adhesive solutions are at work, from the battery in your electric car, to the display of your mobile phone, and even in the elevator in your building. Wherever you look, you'll find tesa - holding the world together since more than 125 years.