ML Engineer (AI)

TL;DR

ML Engineer (AI): Building and deploying machine learning solutions from end to end, contributing to the full ML delivery cycle with an accent on turning ideas and prototypes into reliable, production-ready systems. Focus on data analysis, solution design, and ensuring models deliver stable, measurable value in real-world conditions.

Location: Hybrid in Cyprus. Relocation package is offered for candidates from other regions to Cyprus.

Company

hirify.global is a product company focused on turning ideas and prototypes into reliable, production-ready ML systems.

What you will do

• Build and deploy end-to-end machine learning solutions.
• Conduct data analysis, annotation, and processing as a key part of ML system design.
• Design solutions using common patterns and tools, and propose alternative approaches.
• Ensure solutions meet design standards and are reusable, flexible, and extensible through peer reviews.
• Deploy features, prevent unintended side effects, and ensure performance indicators are met.
• Document technical solutions and ensure all necessary monitoring and support tools are in place.

Requirements

• 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.

Culture & Benefits

• Stable salary and 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, and partially/fully paid additional courses.
• All necessary work equipment.