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.