Senior Machine Learning Engineer – AI & MLOps Specialist

Unleash innovation — pioneer scalable ML services to redefine advertising!

Warsaw-based opportunity with fully remote work model

As a Senior Machine Learning Engineer – AI & MLOps Specialist, you will be working for our client, a leader in the advertising industry, committed to transforming data into impactful solutions. You will build, deploy, and maintain production-grade machine learning services and specialized tools within the advertising domain, ensuring high-impact models deliver reliable results at scale. Join a forward-thinking environment where innovation accelerates career growth and technological excellence.

Your main 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.

You're ideal for this role if you have:

• 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.

It is a strong plus if you have:

• 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.

Language Required for the role:

• Good command of English (Communicative level)

Eligibility for the role:

• Only candidates with an existing legal right to work in the European Union will be considered for this role.

#MAKEYourCareerBETTER

Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.