ML Engineer – Cyprus
We are a team of Machine Learning Engineers focused on turning ideas and prototypes into reliable, production-ready systems. We own the end-to-end lifecycle of ML solutions — from integration with existing services to deployment, monitoring, and continuous improvement — ensuring our models deliver stable, measurable value in real-world conditions
- Build and deploy machine learning solutions from end to end, contributing to the full ML delivery cycle
- Conduct data analysis, annotation, and processing as a key part of the ML system design
- Design solutions using common patterns and tools, and propose alternative approaches when needed
- Ensure solutions meet design standards and are reusable, flexible, and extensible through peer reviews
- Deploy features and ensure they work as intended while preventing unintended side effects
- Document technical solutions and ensure all necessary monitoring and support tools are in place
- Solve issues in the engineering design and delivery process and ensure the solution meets key performance indicators and non-functional requirements
- Collaborate with team members, contribute to a community of practice, and promote the reuse of common approaches and technologies
- Proficiency in Python and its frameworks for streaming, batch, and asynchronous data processing
- Solid experience with classic machine learning techniques and algorithms
- Experience using MLOps tools and practices to manage the ML model lifecycle
- Familiarity with technologies like Golang for backend system and infrastructure integration
- Ability to conduct thorough data analysis and preparation
- Strong problem-solving skills with a focus on engineering principles and data-driven reasoning
- Excellent communication and collaboration skills, with an ability to seek and validate information from various sources
- A solid understanding of business value and how it connects to delivering features
- A proactive approach to self-development and learning new skills and best practices
- Stable salary, official employment
- Health insurance
- Hybrid work mode and flexible schedule
- Access to professional counseling services including psychological, financial, and legal support
- Discount club membership
- Diverse internal training programs
- Partially or fully paid additional training courses
- All necessary work equipment
