Senior MLOps Engineer – Google Cloud

Job not on LinkedIn

🔥 0 minutes ago

🇵🇱 Poland – Remote

💵 zł140 - zł170 / hour

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Spyrosoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

🚘 Automotive

🏥 Healthcare

💼 Consulting

Automotive • Healthcare • Consulting

Spyrosoft is a European technology services and software engineering company that partners with enterprises to deliver digital transformation, custom software, and IT consulting. It provides cloud, AI/ML, embedded and IoT development, cybersecurity, product design, managed services, and staff augmentation, and builds platforms and products such as DebtPro, Allpro, and VoicePro. Spyrosoft serves clients across multiple sectors including automotive, healthcare and life sciences, financial services, geospatial, media and entertainment, robotics and energy, and operates from offices across Europe, the UK, and the US.

📋 Description

• Build and maintain production-grade ML workflows using Vertex AI and Gemini Enterprise Agent Platform Pipelines • Design and develop reusable components for model training, evaluation, registration, deployment, monitoring, and retraining • Implement automated model lifecycle management, including quality controls and approval processes • Integrate ML pipelines with BigQuery and other Google Cloud services • Collaborate with engineering teams to integrate ML workflows into CI/CD pipelines and multi-environment deployment processes • Work closely with Data Scientists to productionize machine learning models and experimental code • Improve reliability, observability, scalability, and cost efficiency of machine learning workloads • Implement monitoring and alerting mechanisms for model performance and platform health • Support best practices related to governance, reproducibility, and ML platform standards • Contribute to technical design discussions and continuous improvement initiatives within the MLOps ecosystem

🎯 Requirements

• Strong hands-on experience in MLOps, ML Platform Engineering, or Machine Learning Operations • Proven production experience with Vertex AI and/or Gemini Enterprise Agent Platform Pipelines • Strong Python software engineering skills • Solid experience with Google Cloud Platform services, especially BigQuery • Experience building modular and reusable ML pipeline components • Hands-on experience with CI/CD practices and tools in production environments • Strong understanding of model versioning, monitoring, retraining strategies, and reproducibility • Knowledge of software engineering best practices, testing methodologies, and code quality standards • Experience working closely with Data Scientists and translating experimental models into production-ready solutions • Fluent English (C1) • Google Cloud Professional Machine Learning Engineer certification or equivalent (nice to have) • Experience with infrastructure as code and cloud automation tools (nice to have) • Knowledge of cost optimization practices for machine learning workloads (nice to have) • Experience using AI tools in day-to-day workflow (nice to have)