ML Engineer: Production ML & MLOps (Hybrid – Warsaw)

Poland and Central-Eastern Europe; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

Xebia is a global AI-first, digital transformation, and engineering partner. We deploy and run ML in production, collaborating with DS and Research teams from Warsaw in a hybrid setup.

Our focus on MLOps, SRE, and cloud-native platforms helps customers scale data-driven solutions across multiple industries. Join a team that values engineering excellence, knowledge sharing, and a hands-on approach to modern AI workloads, with opportunities to work across GCP, Vertex AI, BigQuery, and Cloud

Qualifications

• Proven experience deploying and operating ML models in production.
• Hands-on experience with automated monitoring and production troubleshooting.
• Advanced knowledge of MLOps, including model lifecycle automation, CI/CD pipelines, and release management.
• Practical experience with GCP and handling large-scale data/ML workloads.
• Experience with containerised services and production deployment environments.
• Familiarity with AI-assisted coding tools and their use in software development.
• Ability to collaborate with Data Science, Research and other engineering teams.
• Willingness to work in a hybrid model from Warsaw and attend in-person meetings when required.

Responsibilities

• Productionising machine learning models in close collaboration with Data Science and Research teams.
• Supporting production ML systems through troubleshooting, root-cause analysis and continuous improvements.
• Applying DevOps and SRE principles to improve reliability, scalability and maintainability of ML services.

Skills

ML in production

MLOps

CI/CD pipelines

Cloud platforms (GCP)

Containerization

Monitoring & troubleshooting

Collaboration with DS/Research

Tools

Vertex AI

BigQuery

Cloud Storage

Job description

Xebia is a global AI-first, digital transformation, and engineering partner. We deploy and run ML in production, collaborating with DS and Research teams from Warsaw in a hybrid setup.

Our focus on MLOps, SRE, and cloud-native platforms helps customers scale data-driven solutions across multiple industries. Join a team that values engineering excellence, knowledge sharing, and a hands-on approach to modern AI workloads, with opportunities to work across GCP, Vertex AI, BigQuery, and Cloud