Staff Machine Learning Platform/Ops Engineer
Role details
Job location
Tech stack
Job description
We're hiring a Staff ML & Data Engineer to own and evolve Preply's ML platform. You will design the systems that enable our ML teams to move from research to production seamlessly - at scale, across clouds, and with minimal friction.
This role blends strategic platform architecture with deep hands-on engineering. You'll partner with Engineering and ML leadership to define standards, introduce new tooling, and eliminate barriers to deploying reliable, cost-efficient, and observable ML systems., * Lead the design and implementation of Preply's ML platform architecture: from experiment tracking and artifact management to scalable model deployment
- Drive cloud-native solutions for distributed training and inference, including GPU-based training environments, autoscaling, and rollout strategies
- Own technical direction for CI/CD for ML, incorporating testing, validation, and performance checks into every deployment pipeline
- Embed observability best practices across ML workflows: metrics, alerts, drift detection, lineage
- Act as a multiplier across engineering: mentoring, influencing standards, and de-risking complex technical decisions
- Partner with ML Leads and Product teams to align platform direction with experimentation velocity, cost-efficiency, and user impact
- Design and lead building ML services are modular, testable, and monitored from day one
- Contribute to LLM platform capabilities, including RAG pipelines, latency-optimized inference, and prompt experimentation frameworks
Requirements
Do you have experience in Machine learning?, Do you have a Master's degree?, * 8+ years of engineering experience in large-scale Data/ML platforms, with proven ability to architect and scale production-grade systems supporting dozens of ML use cases
- Deep knowledge of cloud services and strong understanding of end-to-end ML workflows, including versioning, monitoring, and performance benchmarking
- Experience with working with scientists and building enabling tools for them.
- Excellent communication and influence across cross-functional teams; motivated by product impact. Mentoring and coaching ML engineers.
- Familiarity with LLM frameworks (LangChain, LlamaIndex), vector stores, and retrieval infrastructure
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;
- 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!)