Senior Machine Learning Engineer – AI & MLOps Specialist

Our client is a leader in the advertising industry focused on transforming data into impactful solutions through scalable machine learning services.

• 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 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.

Nice to 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.

• 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 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.
• Apply advanced MLOps practices, including CI/CD pipelines, model lifecycle automation, and release management.
• Enhance engineering productivity using AI-assisted coding tools and maintain high code quality standards.
• Follow DevOps and SRE principles to ensure system reliability and on-call readiness.

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