Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement.
We are building the future of live entertainment. We believe that by providing people with the best and highest-quality live streaming experience in entertainment, we can tackle the world’s “problems” better, together!
We are seeking an experienced Python Developer (ML) to join our dynamic team ML team.
Our technology stack:
Languages: Python;
Monitoring: Prometheus, VictoriaMetrics, Grafana, Grafana Loki, Sentry;
DBs: MariaDB, Clickhouse, Redis;
Streaming: Apache Kafka;
Workflow management: Apache Airflow, Argo Workflow;
Infrastructure: k8s, gitlab.
Job Responsibilities
Design and build production-grade Python services for running and maintaining ML applications for different domains: RecSys, CV, Classic ML, NLP.
Develop and maintain data pipelines for training, validation, batch inference workflows
Build internal tools and reusable modules for the ML team
Implement monitoring and observability for ML services using metrics, logs, and dashboards.
Contribute to continuous integration and delivery pipelines (testing, packaging, and automation).
Develop visualization and debugging tools for model outputs — including active learning and content analysis interfaces.
Ensure that all components are reliable, testable, and easy to maintain.
You’ll thrive here if you have
3+ years of experience as a Python Developer, Backend Engineer, or Data Engineer.
Strong Python skills (asyncio, FastAPI, pydantic, typing, modular architecture).
Proven experience designing and deploying production systems with Docker, Kubernetes and CI/CD.
Familiarity with ML workflows (you don’t need to train models yourself, but you understand how they’re served, retrained, and monitored).
Experience building data pipelines and integrating with various data sources.
Knowledge of metrics, logging, and observability best practices (Grafana, Prometheus, Loki, etc.).
Strong understanding of testing, clean code, and maintainable software design.
Qualification that can be a plus:
Experience working with machine learning teams or MLOps pipelines.
Experience with distributed systems or high-load backend services.
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
Mindfulness & well-being support, including psychological assistance with 50% coverage.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation.
Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.
A culture of recognition: a peer reward program to celebrate your contributions.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities.
Recruitment process
HR Interview (40 min);
Technical Interview + Live Coding (1.5 hour);
Final Interview (1 hour).