Senior Machine Learning Platform/Ops Engineer
hace 16 días
Barcelona
Join to apply for the Senior Machine Learning Platform/Ops Engineer role at Preply 1 day ago Be among the first 25 applicants Join to apply for the Senior Machine Learning Platform/Ops Engineer role at Preply Get AI-powered advice on this job and more exclusive features. We power people's progress. At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. We power people's progress. At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. About The Role As Preply scales its AI-powered learning platform, we’re looking for an experienced Senior ML Platform/Ops Engineer to help productionize machine learning systems with high reliability, performance, and observability. You’ll work at the intersection of ML, data engineering, and cloud infrastructure enabling fast, secure, and reproducible model development from training to deployment. You’ll collaborate closely with ML Scientists, Backend Engineers, and Data Engineers to shape the foundations of our ML lifecycle. What You’ll Be Doing • Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton, • Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling), • Define and implement observability and alerting for ML systems (model drift, data quality, feature coverage, etc.), • Design and scale data ingestion and feature transformation flows using batch (e.g., Spark/BigQuery) and streaming (Kafka or equivalent), • Contribute to internal Python libraries and platform tooling that accelerate experimentation and deployment for all model teams, • Ensure ML services are modular, testable, and monitored from day one, • Proven experience designing and deploying ML systems in production (5+ years in relevant roles), • Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.), • Experience with modern cloud platforms (preferably GCP or AWS), Kubernetes, and CI/CD workflows, • Understanding of ML model lifecycles: training, validation, deployment, and monitoring, • Strong DevOps practices: Git, IaC (Terraform), logging/observability, containerization (Docker/K8s), • Ability to work independently with ML Scientists and mentor peers in reliability, testing, and delivery. Product impact driven., • An open, collaborative, dynamic and diverse culture;, • A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;, • A competitive financial package with equity, leave allowance and health insurance;, • Access to free mental health support platforms;, • Care to change the world - We are passionate about our work and care deeply about its impact to be life changing., • We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience., • Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters., • Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen., • Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently., • Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions., • Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks., • Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference., • Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made., • Mid-Senior level, • Full-time, • Information Technology and Engineering Get notified about new Operations Engineer jobs in Barcelona, Catalonia, Spain . Baix Llobregat, Catalonia, Spain 1 year ago Baix Llobregat, Catalonia, Spain 4 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr