Director of Data Engineering and ML Platform
Role details
Job location
Tech stack
Job description
We are seeking a Director of ML Platform & Data Engineering to lead the next generation of Preply's data and ML infrastructure.
This leader will build and scale the systems, tools, and teams that enable applied scientists and engineers to develop, deploy, and monitor ML models at scale, from data ingestion to feature computation, model training, deployment, and real-time inference.
You will manage Data Engineering, LLM Ops and ML Platform teams, owning the end-to-end foundation that powers all AI systems at scale. This includes oversight of both data engineering for ML (feature pipelines, real-time and streaming data systems), ML platform infrastructure (training, serving, monitoring, and MLOps), and optimization and scaling of how we use LLMs and Generative AI, ensuring Preply's platform is built on robust, efficient, and future-ready AI infrastructure.
- Define and own the vision for Preply's Data & ML Platform, unifying data engineering, ML infrastructure, and MLOps into a cohesive, scalable ecosystem.
- Coach, mentor, and grow a high-performing team of ML and data engineers, fostering technical excellence, strong collaboration, and a culture of continuous improvement.
- Raise the bar for engineering quality and design standards across data and ML systems, ensuring reliability, scalability, and maintainability, including LLMs.
- Lead and scale the Data & ML Platform organization responsible for real-time pipelines, feature computation, and ML platform services. Help us to effectively use LLMs and scale.
- Design and implement robust, self-service infrastructure for scientists and engineers - including feature stores, training environments, deployment frameworks, and monitoring systems.
- Collaborate closely with Applied AI, Platform, Data Foundations, and Product Engineering to enable rapid experimentation, continuous learning, and reliable model delivery to production.
- Drive platform reliability and efficiency - ensuring data and ML systems are secure, cost-effective, observable, and performant at scale.
- Shape Preply's data moat, ensuring data accessibility, reusability, and consistency across online and offline systems.
- Partner with the VP of Data & Applied AI and the CTO to define long-term architectural vision, hiring plans, and organizational evolution as Preply scales AI capabilities.
Requirements
- Proven experience leading and building both modern data engineering and ML platform systems, ideally 7+ years in data and ML infrastructure, including at least 4 years in leadership roles.
- Hands-on, end-to-end experience across data pipelines, feature stores, model training infrastructure, deployment, and MLOps, including LLMs.
- A strong track record of building and scaling data and ML platforms at a technology or product company (experience in edtech or marketplace environments is a plus).
- Deep technical expertise in modern data and ML stacks, .e.g., Kafka, Spark, Airflow, SageMaker, MLflow, or similar cloud-native architectures.
- Practical understanding of machine learning workflows and the infrastructure required to support them (feature computation, training, deployment, monitoring).
- Experience managing and growing cross-functional engineering teams spanning data engineering, ML engineering, and platform infrastructure.
- Ability to coach, mentor, and elevate senior engineers while setting high technical and architectural standards. A bias toward action, ownership, and continuous improvement in a fast-moving environment.
- Strong product mindset - able to translate AI and business objectives into scalable platform capabilities. Exceptional communication and stakeholder management skills, with the ability to align across data, applied AI, and engineering organizations.
- Demonstrated ability to partner closely with applied scientists and researchers - understanding their workflows, translating modeling requirements into platform capabilities, and accelerating model-to-production delivery.
Benefits & conditions
- 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;
- Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub
- Access to free mental health support platforms;
- Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health;
- The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).