Senior Machine Learning Engineer
Warsaw-based opportunity with fully remote work modelFull-TimeSenior
Salary4738 - 5467 CHF per month b2b currencySource=conversion; 5135 - 5925 EUR per month b2b currencySource=conversion; 4431 - 5113 GBP per month b2b currencySource=conversion; 5922 - 6833 USD per month b2b currencySource=conversion; 21840 - 25200 PLN per month b2b currencySource=original
Apply NowOpens the employer's application page
Job Details
- Languages
- English (B2)
- Experience
- Minimum 3 years
- Required Skills
- DockerPythonSQLGCPCI/CDDevOpsMLOps
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.
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.
View Full Description & ApplyYou'll be redirected to the employer's site
