Staff Machine Learning Ops Engineer

Stack

Responsibilities

• ▹Define the technical vision and roadmap for Preply's ML platform, supporting growing ML and GenAI adoption across teams, products and business lines
• ▹Lead the architecture of platform capabilities across the full ML lifecycle: experimentation, feature engineering, artifact management, training, deployment, monitoring, retraining and governance
• ▹Design cloud-native infrastructure for distributed training and inference, including GPU environments, autoscaling, workload isolation, rollout strategies and cost optimization
• ▹Set the technical direction for CI/CD for ML, embedding testing, validation, security and performance checks into deployment pipelines
• ▹Establish observability standards for ML systems: model metrics, service health, alerts, drift detection, data quality, lineage and business-impact monitoring
• ▹Lead the evolution of GenAI and LLM platform capabilities: LLM Gateway services, vector retrieval infrastructure, prompt experimentation, evaluation frameworks, latency-optimized inference and reliable model-serving patterns
• ▹Partner with Applied Science and Data leads, Product leaders and Engineering teams to align platform investments
• ▹Design platform abstractions, internal libraries, templates and self-service tooling for ML scientists and engineers
• ▹Mentor senior engineers, influence architecture and raise standards
• ▹Identify and eliminate bottlenecks in the path from ML research to production

Requirements

• ▹9+ years of engineering experience, with significant depth in large-scale ML, data, infrastructure or platform systems
• ▹Proven ability to architect and scale production-grade ML platforms supporting many teams, workflows and ML use cases
• ▹Deep understanding of cloud-native architecture and end-to-end ML workflows: experimentation, feature management, model versioning, training, deployment, monitoring, performance benchmarking and lifecycle management
• ▹Strong hands-on experience with cloud platforms such as GCP or AWS, Kubernetes, distributed compute, CI/CD, observability and infrastructure-as-code practices
• ▹Experience building enabling tools and platform capabilities for Applied Scientists, Data Scientists and engineering teams
• ▹Strong technical judgment and pragmatic architecture decisions across reliability, scalability, security, cost and developer experience
• ▹Excellent communication and influence skills, aligning cross-functional stakeholders
• ▹Demonstrated ability to mentor engineers and raise engineering standards
• ▹Product-impact mindset: building platform capabilities that accelerate experimentation and unlock measurable business value

Nice to have

• ▹Familiarity with LLM frameworks and GenAI infrastructure, such as LangChain, LlamaIndex, vector stores, retrieval systems, prompt evaluation, model serving or LLM observability

Soft skills

What we offer

• ▹Open, collaborative, dynamic and diverse culture
• ▹Generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for self-development
• ▹Competitive financial package with equity, leave allowance and health insurance
• ▹Free mental health support platforms

About the company

Preply is scaling an AI-powered learning platform used by millions of learners and tutors worldwide. It recently closed a $150M Series D, with 100,000+ tutors teaching 90+ languages in 180 countries.