Senior Machine Learning Platform/Ops Engineer

Навыки

• AI-инструменты в работе
• Airflow
• AWS
• BigQuery
• CI/CD
• Dagster / Prefect / Luigi
• Data Quality

О компании и продукте

• 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.
• We’ve reached 90%+ adoption of AI coding tools across engineering, and we’re now moving towards more autonomous, AI-Augmented development at scale. At Preply, engineers have direct access to the best tools available, with the freedom to use them fully and experiment as they build.
• You’ll collaborate closely with ML Scientists, Backend Engineers, and Data Engineers to shape the foundations of our ML lifecycle.

Задачи

• 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
• Exploration and productionization of LLM-based features (e.g., retrieval pipelines, prompt evaluation, model serving)
• WE POWER PEOPLE’S PROGRESS
• At Preply, we’re all about creating life-changing learning experiences

Требования

• 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
• Exposure to LLM serving, vector databases, or GenAI-powered product flows
• Deep, hands-on expertise in AI tools, especially in agentic AI SDLC

Условия

• An open, collaborative, dynamic and diverse culture
• A generous monthly allowance for lessons on Preply.com http://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
• The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)
• We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning
• Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started
• As a category-defining company, we’re shaping what the future of learning looks like at global scale
• Every Preply lesson sparks change, fuels ambition, and drives progress that matters
• Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day

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