Senior Machine Learning Engineer – AI & MLOps Specialist

Our requirements

• Minimum 3 years of experience in ML engineering or related fields.
• Proven expertise in deploying and operating ML models in production environments.
• Strong knowledge of software engineering fundamentals, modular architecture, and maintainable coding.
• Advanced proficiency in Python and SQL, specifically for ML training orchestration and inference.
• Hands-on experience with cloud platforms, preferably GCP (Vertex AI, BigQuery, Cloud Storage).
• Deep understanding of MLOps, CI/CD practices, and SRE principles tailored to ML systems.
• Familiarity with cloud-based serving ecosystems, containerized operations, and microservice architectures.
• Experience with feature stores, training/serving consistency, and model monitoring.
• Good command of English (Communicative level)
• Only candidates with an existing legal right to work in the European Union will be considered for this role.

Optional

• Experience in AdTech, ranking, or recommendation ML systems.
• Knowledge of distributed data pipelines (e.g., Vertex Pipelines, Dask, Spark).
• Familiarity with cross-language model integration and cloud microservices.
• Certifications related to cloud platforms or MLOps best practices.

Your responsibilities

• Build, deploy, and maintain scalable, high-performance ML services within the advertising landscape.
• Orchestrate ML engineering workflows, including model packaging, deployment strategies, observability, and operational stability.
• Collaborate with Data Science and Research teams to productionize models, ensuring consistent, reliable delivery for advertising use cases.
• Implement automated monitoring, incident troubleshooting, and rollback strategies for ML models in production.
• Leverage cloud platforms (preferably GCP) for high-scale data and ML workloads, ensuring seamless system operation.
• Apply advanced MLOps practices, including CI/CD pipelines, model lifecycle automation, and release management.
• Enhance engineering productivity by utilizing AI-assisted coding tools and maintaining high code quality standards.
• Follow DevOps and SRE principles to ensure system reliability and on-call readiness.

About the project

This is how we organize our work

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What we offer

• Stable and long-term cooperation with very good conditions
• Enhance your skills and develop your expertise in the financial industry
• Work on the most strategic projects available in the market
• Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
• Participate in Social Events, training, and work in an international environment
• Access to attractive Medical Package
• Access to Multisport Program
• Access to Pluralsight
• Flexible hours

Benefits

• sharing the costs of sports activities
• private medical care
• flexible working time
• fruits
• integration events
• corporate gym
• saving & investment scheme
• no dress code
• coffee / tea
• drinks
• christmas gifts
• birthday celebration
• sharing the costs of a streaming platform subscription
• access to +100 projects
• access to Pluralsight

Recruitment stages

• 1.
  online interview
• 2.
  online interview

ITDS Polska Sp. z o.o.