Senior Machine Learning Engineer – AI & MLOps Specialist
⚲ Warszawa
21 840–25 200 zł netto (+ VAT) / mies.
Wymagania
- BigQuery
- Cloud Storage
- containerized service operations
- GCP
- Python
- SQL
- Vertex AI
Opis stanowiska
Nasze wymagania:
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.
Good command of English (Communicative level)
Only candidates with an existing legal right to work in the European Union will be considered for this role.
Mile widziane:
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.
O projekcie:
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.
Unleash innovation — pioneer scalable ML services to redefine advertising!
Warsaw-based opportunity with fully remote work model
Zakres obowiązków:
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.
Oferujemy:
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours
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.
Good command of English (Communicative level)
Only candidates with an existing legal right to work in the European Union will be considered for this role.
Mile widziane:
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.
O projekcie:
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.
Unleash innovation — pioneer scalable ML services to redefine advertising!
Warsaw-based opportunity with fully remote work model
Zakres obowiązków:
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.
Oferujemy:
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours
🔍 Dekoder Ogłoszenia
🔴
Proven expertise in deploying and operating ML models in production environments.
Oczekuje się, że kandydat samodzielnie poradzi sobie z całym cyklem życia modelu ML w produkcji, a nie tylko z jego tworzeniem.
🔴
Strong knowledge of software engineering fundamentals, modular architecture, and maintainable coding.
Może oznaczać, że zespół ma problemy z jakością kodu lub brakuje mu dobrych praktyk inżynierskich.
🔴
Deep understanding of MLOps, CI/CD practices, and SRE principles tailored to ML systems.
Firma może oczekiwać, że kandydat będzie budował i wdrażał te praktyki od zera, a nie tylko je stosował.
🟡
Good command of English (Communicative level)
Może oznaczać, że komunikacja w języku angielskim nie jest priorytetem lub że oczekiwany jest jedynie podstawowy poziom znajomości języka.
🟡
committed to transforming data into impactful solutions.
Jest to ogólne stwierdzenie marketingowe, które nie precyzuje konkretnych zadań ani celów projektu.