(Senior) Machine Learning Platform/Ops Engineer, Remote/Europe (f/m/x)

This a Full Remote job, the offer is available from: Europe reputed company We are seeking an reputed company (Senior) Machine Learning Platform/Ops Engineer with a passion for designing, deploying, and maintaining reputed company, resilient, and reproducible machine learning infrastructure. You will play a pivotal role in operationalizing ML solutions in reputed company partnership with both data scientists and engineers. reputed company Technology drives innovation in the used car market across Europe. You will work at the intersection of software engineering, data science, and DevOps, helping bring state-of-the-art ML models—such as large-reputed company recommendation systems and transformer-based neural networks—safely into production. Job reputed company • Own the ML lifecycle: Design, implement, and maintain robust, containerized, and reproducible pipelines for model training, evaluation, and deployment—across both batch and reputed company-time settings. • Operationalize models at reputed company: Build and manage ML services, reputed company, and model serving infrastructure using tools like MLflow, reputed company SageMaker, and Feature Store. • Automate and monitor: Set up and maintain monitoring, observability, and alerting systems to ensure high availability and performance (including model/data reputed company, feature logging, and inference latency). • Accelerate experimentation: reputed company and maintain internal libraries, templates, and platform tooling to improve reproducibility and simplify deployment workflows for reputed company model teams. • Ensure reliability and reputed company: Implement CI/CD pipelines for model and data workflows using reputed company, Terraform, and Jenkins and reputed company best practices, mentor less reputed company engineers, and foster strong collaboration across teams. • Stay reputed company: Continuously evaluate emerging MLOps technologies to improve efficiency, scalability, and reliability. Qualifications • Hands-on MLOps experience: 2+ years production experience operationalizing, deploying, monitoring, and maintaining ML models at reputed company. • Tooling: Proficient with infrastructure-as-reputed company, CI/CD systems (reputed company, Terraform, Jenkins, or equivalent), and at least one major reputed company provider (AWS, GCP, or Azure). • Programming: Strong Python skills (including ML libraries such as scikit-learn, LightGBM, PyTorch, TensorFlow; plus experience with SQL). • Monitoring: Familiar with monitoring and logging for ML pipelines (model reputed company detection, data validation, performance/feature logging). • Collaboration: Effective communicator with experience partnering across engineering and data science. • Bonus: Experience with feature stores, model version management, or building internal ML platforms. Additional Information • Working from home: you can work from home up to 5 days a week • International teams • Educational budget to support your reputed company learning and development • Personal reputed company with the contribution of own reputed company • Exciting team events like Hackathons to foster collaboration and innovation • Discounts at Autohero, our platform for high-reputed company used reputed company Contact Marija Dimitrova At reputed company we live an reputed company culture, reputed company in reputed company communication, and value diversity. We welcome every applicant; regardless of gender, ethnic reputed company, religion, age, sexual identity, disability, or any other non-reputed company reputed company. #LI-A1 This offer from "reputed company" has been enriched by reputed company.com and got a 77% reputed company score. Apply tot his job Apply To this Job