Senior MLOps Engineer (MLOps)

TL;DR

Senior MLOps Engineer (MLOps): Building and optimizing robust ML workflows and platform components for a leading European Online Fashion & Beauty Retailer with an accent on scalability, consistency, and speed. Focus on designing foundational ML systems, automating model deployment, and establishing best practices for ML delivery.

Location: Hybrid in Istanbul, Turkey

Company

hirify.global collaborates with a leading European Online Fashion & Beauty Retailer to build and scale Machine Learning systems.

What you will do

• Design and build foundational ML platform components for data access, feature management, model training, deployment, and inference at scale.
• Develop infrastructure and tooling that enable ML practitioners to experiment, version, deploy, and monitor models reliably and automatically.
• Architect scalable, modular, and reusable ML systems that serve as the backbone of ML development across multiple teams.
• Implement core abstractions and APIs to standardize how ML workflows are executed.
• Build and maintain observability and reliability tooling for ML systems.
• Establish best practices, frameworks, and reference implementations for ML delivery.
• Work closely with infrastructure, data, and security teams to ensure ML systems are secure and compliant.

Requirements

• 5+ years of experience in Machine Learning Engineering or MLOps roles
• Solid Python development skills.
• Strong hands-on experience with Airflow (MWAA), MLFlow, and/or SageMaker.
• Familiarity with ML observability tools such as Grafana, custom metric logging, model drift detection, and alerting mechanisms.
• Proficiency in building CI/CD pipelines for ML systems with automated testing and validation.
• Experience with Infrastructure-as-Code tools (CloudFormation, YAML).
• Understanding of secure and compliant deployment of ML pipelines.
• Excellent debugging and problem-solving skills.

Nice to have

• Experience with OpenAI API usage in production, containerization, and Kubernetes orchestration.

Culture & Benefits

• Hybrid work model (home/office).
• Paid Vacation.
• Sick Days.
• Sport/Insurance Compensation.
• Holidays Day Off.
• English Classes.
• Training Compensation.
• Transportation compensation.