Senior MLOps Engineer (AI/ML)

TL;DR

Senior MLOps Engineer (AI/ML): Designing, developing, and maintaining robust MLOps infrastructure and workflows with an accent on deployment, monitoring, and scalability of machine learning models. Focus on streamlining the machine learning lifecycle, operationalizing cutting-edge solutions, and ensuring compliance with security and governance.

Location: Primarily based in Berlin, Germany, with freedom to work from abroad for up to 90 days worldwide.

Company

hirify.global builds and optimizes a flexible, highly scalable promotions engine for its customers.

What you will do

• Build and maintain MLOps pipelines to automate data preparation, model training, evaluation, deployment, and monitoring of ML models and data pipelines.
• Design scalable infrastructure using cloud platforms and tools like Kubernetes, Docker, and Terraform.
• Implement CI/CD for ML models, ensuring reproducibility, reliability, and version control.
• Monitor model performance and data drift in production, and implement automated retraining workflows.
• Collaborate with data scientists and engineers to operationalize machine learning models in a secure, efficient, and scalable manner.
• Maintain model registries, metadata tracking, and experiment management tools.

Requirements

• 6+ years of experience in software engineering or DevOps, with at least 3+ years in MLOps or ML infrastructure roles.
• Experience deploying and managing machine learning systems at scale in high-availability, real-time environments.
• Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
• Proficiency with Google Cloud Platform and infrastructure-as-code tools like Terraform.
• Hands-on experience with tools like Vertex AI, MLflow, Kubeflow, Airflow, or SageMaker.
• Experience with containerization and orchestration technologies (Docker, Kubernetes).

Culture & Benefits

• €1,000 annual learning budget, full LinkedIn Learning access, and free German language courses.
• 30 days of annual leave, plus extra paid days for your birthday and moving day.
• Home office setup budget and a monthly home office allowance.
• Freedom to work from abroad for up to 90 days worldwide.
• Mental health support with nilo.health and a discounted Urban Sports Club membership.
• Flexible and family-friendly environment with modern software and hardware.