Senior Machine Learning Engineer – AI & MLOps Specialist

Unleash innovation — pioneer scalable ML services to redefine advertising!Warsaw-based opportunity with fully remote work modelAs 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 PolishEligibility for the role:Only candidates with an existing legal right to work in the European Union will be considered for this role.#MAKEYourCareerBETTERInterested? 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.