5 months ago
Kyiv, UkraineStaff+
Responsibilities
- Define Preply’s technical vision and roadmap for ML and GenAI platform capabilities.
- Architect platform capabilities across 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.
- Establish ML CI/CD practices with testing, validation, security, performance checks, and release controls.
- Set observability standards covering model metrics, service health, alerts, drift detection, data quality, lineage, and business impact.
- Develop GenAI and LLM platform capabilities including gateway services, vector retrieval infrastructure, prompt experimentation, evaluation frameworks, model serving, and LLM observability.
- Build internal libraries, templates, platform abstractions, and self-service tooling for ML scientists and engineers.
- Mentor senior engineers, influence architecture, raise engineering standards, and remove bottlenecks between ML research and production.
Requirements
- 9+ years of engineering experience with significant depth in large-scale ML, data, infrastructure, or platform systems.
- Proven experience architecting and scaling production-grade ML platforms for multiple teams, workflows, and use cases.
- Deep understanding of end-to-end ML workflows including experimentation, feature management, model versioning, training, deployment, monitoring, benchmarking, and lifecycle management.
- Strong hands-on experience with GCP or AWS, Kubernetes, distributed compute, CI/CD, observability, and infrastructure as code.
- Experience building enabling tools and platform capabilities for Applied Scientists, Data Scientists, and engineering teams.
- Strong technical judgment across reliability, scalability, security, cost, and developer experience.
- Experience aligning cross-functional stakeholders, translating platform strategy into execution, mentoring engineers, and raising engineering standards.
- Familiarity with LLM frameworks and GenAI infrastructure such as LangChain, LlamaIndex, vector stores, retrieval systems, prompt evaluation, model serving, or LLM observability.
Benefits
- Open, collaborative, dynamic, and diverse culture.
- Monthly allowance for lessons on Preply.com, plus a Learning & Development budget and time off for self-development.
- Competitive financial package with equity, leave allowance, and health insurance.
- Access to free mental health support platforms.
- Opportunity to support learners and tutors through language learning and teaching across 175 countries.
Tech Stack
Categories
About Preply
Preply builds an online marketplace that connects learners with human tutors for live language lessons, supported by AI tools. Consumers book 1:1 sessions and ongoing courses, while organizations use Preply Business for corporate language training; revenue comes from commissions and subscriptions. Founded in 2012 and privately held, Preply operates globally with 100,000+ tutors teaching 90+ languages.