Artem Zhukov is a Staff Machine Learning Engineer with 11 years of experience building large-scale data platforms, MLOps pipelines, and enterprise architectures across finance and cloud-native environments. He blends deep technical expertise in Python, Spark, Delta Lake, Databricks and IaC (Pulumi/Terraform) with a strong background in distributed systems, concurrent programming and event-driven design. Artem has led cross-team adoption of architectural standards and helped launch company-wide systems like feature stores, data catalogs, lineage and data quality/observability platforms. His work spans the full ML lifecycle—CI/CD, monitoring, A/B testing, serverless and container deployments—and includes designing an LLM load balancer and router. Formerly a developer and team lead at Red Hat and a systems architect earlier in his career, he pairs hands-on engineering with strategic decision-making that favors long-term maintainability. Outside work he focuses on rigorous, in-depth technical learning and applies functional programming principles and strong testing practices to production systems.
11 years of coding experience
15 years of employment as a software developer
Master’s Degree Mechanical Engineering (HVAC), Master’s Degree Mechanical Engineering (HVAC) at Donbass State Academy of Civil Engineering and Architecture
Nano-degree Machine Learning, Nano-degree Machine Learning at Udacity
Online Education CS229: Machine Learning, Online Education CS229: Machine Learning at Stanford University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Artem Zhukov - Staff Machine Learning Engineer at Paylocity