Senior Machine Learning Platform/Ops Engineer

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.

Key responsibilities

• Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, SageMaker, and Tecton.
• Support AI scientists by creating reproducible, containerized model training environments and managing compute at scale (e.g., spot/GPU autoscaling).
• Define and implement observability and alerting for ML systems, covering model drift, data quality, and feature coverage.
• Design and scale data ingestion and feature transformation flows using batch (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.
• Explore and productionize LLM‑based features such as retrieval pipelines, prompt evaluation, and model serving.

Required profile

• 5+ years of proven experience designing and deploying ML systems in production.
• Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.).
• Experience with modern cloud platforms (GCP or AWS), Kubernetes, and CI/CD workflows.
• Strong understanding of ML model lifecycles: training, validation, deployment, and monitoring.
• Solid 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.
• Exposure to LLM serving, vector databases, or GenAI‑powered product flows.
• Deep hands‑on expertise in AI tools, especially agentic AI SDLC.

Required skills

• Python
• SQL
• Airflow
• Kubeflow
• Dagster
• GCP
• AWS
• Kubernetes
• CI/CD
• Git
• Terraform
• Docker
• K8s
• Spark
• BigQuery
• Kafka
• Databricks
• MLFlow
• DBT
• SageMaker
• Tecton

What we offer

• An open, collaborative, dynamic and diverse culture.
• A generous monthly allowance for lessons on Preply.com, learning & development budget, and time off for self‑development.
• A competitive financial package with equity, leave allowance and health insurance.
• Access to free mental health support platforms.
• The opportunity to unlock the potential of learners and tutors across 175+ countries.