Junior MLOps Engineer (Retail)

TL;DR

Junior MLOps Engineer (Retail): Building and automating ML pipelines and infrastructure for a major US retail company with an accent on CI/CD workflows, model deployment, and scalability. Focus on developing automation tools using Terraform, managing Kubernetes clusters, and optimizing ML model performance in production.

Location: Central Europe

Company

hirify.global provides engineering services for a leading US-based retail company specializing in high-quality products and services.

What you will do

• Build automation tools for ML workflow orchestration and model deployments using CI/CD workflows.
• Automate infrastructure deployments and tool configurations using Terraform or similar IaC tools.
• Develop clean and maintainable code in Python, Go, and other object-oriented languages like Java.
• Troubleshoot and resolve issues related to ML workflow deployments.
• Generate and maintain operational reporting pipelines using BigQuery, Looker, and Tableau.
• Collaborate with data scientists to improve developer workflows and ensure seamless integration.

Requirements

• 1+ years of experience in MLOps, DevOps, or a related role.
• Hands-on experience with Vertex AI or similar platforms like Amazon SageMaker.
• Proficiency in Python and understanding of model deployment, monitoring, and scaling in production.
• Experience with Kubernetes or other containerized orchestration platforms.
• Basic knowledge of cloud technologies (AWS, GCP) and security best practices in cloud environments.
• Knowledge of reporting tools like Tableau, Looker, and BigQuery (SQL).

Nice to have

• Experience with e-commerce and general digital e-commerce concepts.
• Passion for utilizing GenAI to reduce manual processes.

Culture & Benefits

• Paid vacation, sick days, and floating holidays.
• Compensation for sports and insurance.
• Provision of English language classes.
• Training compensation and charity initiatives.
• Friendly and supportive team environment.