Middle ML Engineer

Hybrid - Full-time - Middle - AI Cluster

Cyprus · Cyprus · Georgia · Kazakhstan

Application ID:

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.

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Responsibilities

  • 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

Qualifications

  • 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

Conditions & Benefits

  • Stable salary, official employment
  • Health insurance
  • Hybrid work mode and flexible schedule
  • Relocation package offered for candidates from other regions
  • Access to professional counseling services including psychological, financial, and legal support
  • Discount club membership
  • Diverse internal training programs
  • Partially or fully payed additional training courses
  • All necessary work equipment

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