{"id":3600858,"url":"https://alion.io/job/google-cloud-engineer-data-and-ai-google-cloud","title":"Cloud Engineer, Data and AI, Google Cloud","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":152,"ghost_share":0.046,"stale_share":0.651,"repost_share":0.046,"time_to_fill_p50_days":30,"computed_at":"2026-11-02T06:13:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Vertex AI","optional":false},{"name":"ETL/ELT","optional":true},{"name":"Hadoop","optional":true},{"name":"PyTorch","optional":true},{"name":"Spark","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-11-02T06:38:01Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-02T22:32:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the job\nThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.\nAs a Cloud Data and AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.\nIn this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.\nGoogle Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.Poland: zł188000 - zł192000 (PLN) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nBe a trusted technical advisor to customers and solve complex machine learning challenges.\nCoach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models.\nWork with Customers, Partners, and Google Product teams to deliver tailored solutions into production.\nCreate and deliver best practice recommendations, tutorials, blog articles, and sample code.\nTravel up to 30% for in-region for meetings, technical reviews, and onsite delivery 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