Software Engineer (ML Ops, AI Model Operationalization)

About Us

ERGO Technology & Services S.A. (ET&S S.A.) was established in January 2021 following the integration of ERGO Digital IT and Atena into one entity, leveraging both companies’ strengths and best practices. As a part of ERGO Technology & Services Management AG, the technology holding of ERGO Group AG, we support millions of internal and external customers with state-of-the-art IT solutions to everyday problems.

In October 2022, ET&S S.A. expanded its scope of operations by creating a Business Services unit to contribute in a new way to the growth of ERGO’s business. Acting as a co-partner and internal consultant, it adds non-IT value and supports the development of the entire ERGO Group, currently offering skills in reporting, analysis, actuarial, and input management. We are committed to fostering innovation and meeting the evolving needs of our clients worldwide.

Discover how we implement AI, IoT, Voice Recognition, Big Data science, advanced mobile solutions, and business-related services to anticipate and address our customers’ future needs.

About the role

We are looking for a skilled ML Ops Engineer to help bring AI models into real-world production environments at scale. In this role, you will not focus on training models or fine tuning LLMs; your primary responsibility will be to operationalize, deploy, monitor, and maintain AI/ML solutions, ensuring they are robust, reliable, and integrated into business processes. In daily work you’ll collaborate closely with team of data scientists, data engineers and software engineers to ensure that models are securely deployed, continuously integrated, and ready for scalable production use.

This role is about application development, engineering- and infrastructure-focused, with a strong emphasis on production-readiness, automation, and operational excellence.

How you will get the job done

• packaging, deploying, and monitoring machine learning models in production environments using Azure ML, MLflow, and containerization technologies

• designing and maintaining scalable infrastructure using Azure Kubernetes Service (AKS), Docker, and CI/CD pipelines

• building APIs, endpoints, and inference pipelines to serve models efficiently and reliably

• implementing monitoring, logging, and alerting for ML services to ensure uptime, performance, and model accuracy

• managing versioning of models, artifacts, and configurations, ensuring traceability and compliance with governance standards

• collaborating closely with Data Scientists to understand model requirements and with DevOps teams to integrate ML workflows into broader CI/CD frameworks

• driving automation across the ML lifecycle, including testing, deployment, retraining triggers, and rollback mechanisms

• ensuring that AI solutions meet enterprise security, compliance, and data privacy requirements

• writing clean, efficient, and maintainable Python code, following modern software engineering practices including testing, version control, and documentation

  
  

Skills and experience you will need

• fluency in English

• 3+ years of experience as a software developer or backend engineer, ideally with exposure to cloud-native and distributed systems

• expert-level knowledge of Python, particularly in building production-grade software and ML/AI pipelines

• hands-on experience with Azure ML, Azure DevOps, Azure Container Registry, and Azure Key Vault

• proficiency in Docker and Kubernetes (AKS) for deploying scalable ML solutions

• experience in building and maintaining CI/CD pipelines for ML applications, including automated testing and deployment

• familiarity with tools such as Prometheus, Grafana, Azure Monitor, or similar for monitoring and logging

• experience with MLflow or similar tools for experiment tracking, model registry, and reproducibility

• proven ability to work effectively within cross-functional teams in an Agile/Scrum setup

Nice to have

• experience with Databricks or other managed ML platforms

• familiarity with model drift detection and automated retraining pipelines

• knowledge of vector databases and inference optimization

• understanding of AI-specific security and compliance practices

  
  

Perks & Benefits

Let's be healthy

Medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let's be balanced

Work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.

Let's be smart

We organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let's be responsible

Each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let's be fun

Company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered!

Let's be diverse

Every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!