TL;DR

Senior ML Engineer (Data Science/ML): Designing and scaling end-to-end machine learning systems powering real-world applications with an accent on architectural design, MLOps, and production deployment. Focus on building complex ML systems from scratch, solving concept drift challenges, and driving continuous improvement and innovation.

Location: Hybrid work mode in Cyprus, Georgia, Kazakhstan

Company

%hirify_global% is a product company operating in software development with a focus on marketplace efficiency.

What you will do

Take ownership of the end-to-end ML delivery cycle including building, testing, deploying, and supporting solution components
Lead design of complex ML systems from scratch considering architecture, user needs, and non-functional requirements
Transform business goals into data science problems and define relevant metrics
Manage issues from root cause to resolution and improve engineering design
Create and maintain ML-powered services in production collaborating with backend and infrastructure teams
Mentor and onboard junior team members supporting continuous learning and best practices

Requirements

Comprehensive experience leading ML projects autonomously with proven success
Expertise in classic ML, deep learning, advanced mathematics, and MLOps tools
Proficiency in Python and backend integration technologies like Golang
Strong software system design skills and experience maintaining production services
Understanding of concept drift and its impact on model performance
English proficiency at least B2 level (job posting in English)

Culture & Benefits

Stable salary and official employment
Health insurance
Hybrid work mode with flexible schedule
Relocation package offered for candidates from other regions
Access to professional counseling services including psychological, financial, and legal support
Diverse internal training programs and paid additional courses
All necessary work equipment provided