Senior Machine Learning Engineer - AI & MLOps Specialist

Senior Machine Learning Engineer – AI & MLOps Specialist

Miejsce pracy: Warszawa

Technologies we use

Expected

• BigQuery
• Cloud Storage
• containerized service operations
• GCP
• Python
• SQL
• Vertex AI

Operating system

• Windows
• Linux

About the project

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

Your 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.

Our 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.
• 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.

Optional

• 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.

This is how we organize our work

This is how we work

• at the client's site
• agile
• scrum

What we offer

• 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

Benefits

• sharing the costs of sports activities
• private medical care
• flexible working time
• fruits
• integration events
• corporate gym
• saving & investment scheme
• no dress code
• coffee / tea
• drinks
• christmas gifts
• birthday celebration
• sharing the costs of a streaming platform subscription
• access to +100 projects
• access to Pluralsight

Recruitment stages

• online interview
• online interview

#GETREADY to meet with us!

ITDS Business Consultants is involved in many various, innovative and professional IT projects for international companies in the financial industry in Europe. We offer an environment for professional, ambitious, and driven people.

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data.

ITDS’s Whistleblower Procedure

You can report violations in accordance with ITDS’s Whistleblower Procedure available here:

ITDS Polska Sp. z o.o.

ITDS supports financial service providers to take the next steps.

We identify what’s possible, every day. Opportunities in the areas of technology, organization, and digitization.

We see where banks, insurers, payment companies, or fintech can go and how they can get there.

That’s why we want to stimulate you to ramp up your ambition. Forget what you perceive as restraints and step towards the new reality.

ITDS in Poland - Pure player in new Technologies & Financial Industry

+300 IT implementation professionals

+20 clients in the Banking, Insurance, Payment & Fintech Industry

ITDS excels in digital strategy delivery and implementation of best-of-breed lending solutions. ITDS has delivered successful strategic projects throughout Europe since 1998. We combine the experience we’ve accumulated with in-depth knowledge of technologies, business processes, and EU legislation to unlock new business opportunities.

Informujemy, że administratorem danych jest ITDS z siedzibą w Warszawie, ul. Złota 59 (dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie. Odbiorcą danych jest serwis Hello HR oraz inne podmioty, którym powierzyliśmy przetwarzanie danych w związku z rekrutacją.
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