MLOPS ENGINEER (m/f/d)
At a glance
Mid-level ML Platform & Ops role at SchwarzIT Sourcing. Sofia.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Put machine learning models into production with MLflow and Databricks, then automate their deployment
- Build CI/CD workflows with Databricks tests, SonarQube checks and notebook linting to keep code reliable
- Package models with Docker and run scalable deployments through Kubernetes
- Coordinate data and model jobs in Apache Airflow and Databricks Workflows, with monitoring for drift, performance and load
- Protect model operations through GDPR-aware data versioning, feature store management and secure lifecycle practices
What you bring
- You communicate with stakeholders and can manage those working relationships
- You understand data engineering or analytics and can turn business needs into data-based solutions
- You speak English very well; German is an advantage, not a condition
Who this fits
This role suits someone who enjoys collaborating, sharing technical knowledge and learning with others. The position is based in Sofia, Bulgaria. German can help, but it is not required.
From the employer
Schwarz Digits creates the technological foundation for digital sovereignty in Europe. As the IT and digital division of the Schwarz Group, we develop and manage the IT infrastructures for the retail divisions Lidl and Kaufland, as well as Schwarz Production and PreZero. At the same time, we operate as an independent provider in the external market to support companies across Europe in their digital transformation. We bundle our core services in the areas of Cloud, Cyber Security, Data & AI, Communication, and Workspace.
Join us and contribute to digital sovereignty in Europe. With us, you will work at the intersection of agility and security: You will benefit from fast decision-making processes, enjoy genuine creative freedom in your projects, and be able to build upon the stable foundation of the Schwarz Group.
The impact you will create:
- Deploy and automate machine learning models in production using MLflow and Databricks.- Design and maintain CI/CD pipelines, incorporating Databricks unit test automation, SonarQube analysis, and notebook linting to enforce code quality and maintainability.
- Implement containerization with Docker and use Kubernetes for orchestrating scalable and resilient ML deployments.
- Manage job orchestration with Apache Airflow and Databricks Workflows to ensure reliable and automated data and model pipelines.
- Establish robust monitoring and security systems, including model performance tracking, drift detection, and load testing.
- Ensure GDPR-compliant data handling, focusing on data versioning, feature store management, and secure model lifecycle operations.
- Collaborate with cross-functional teams to share technical knowledge, enhance communication, and drive adoption of MLOps best practices.
- Utilize Google Cloud Platform (GCP) services to enhance and scale ML infrastructure.
Experience and skills you will need:
- Demonstrated ability in stakeholder communication and management
- Good understanding of related data disciplines (e.g. data engineering, analytics)
- Ability to understand, analyze and translate business requirements into data-driven solutions
- Enthusiasm for collaboration, knowledge sharing and joint learning
- Very good English skills - German is a plus, but not a must
We look forward to receiving your application.
Apostol Marudov · Reference no. 48274
Stiftsbergstraße 1 · 74172 Neckarsulm, Germany