AI/MLOps Engineer - Remote

Overview

We are looking for an experienced AI/MLOps Engineer to join our centralized AI engineering team that develops and operates reusable datasets and AI/ML models.

In Short

• Manage and optimize model deployment processes using Kubernetes.
• Maintain and manage a model registry for version tracking.
• Design and maintain ETL/ELT processes using Python and SQL.
• Implement CI/CD pipelines for model training and deployment.
• Design model monitoring frameworks for optimization.
• Mentor and train junior engineers.
• Collaborate with data science teams on best practices.
• Develop reusable frameworks for model deployment.
• Propose cost optimization strategies for operational efficiency.
• Produce MLE standards documents for model deployment.

Requirements

• Bachelor's or Master's degree in Computer Science or related field.
• 8+ years of experience in ML training or inference systems.
• Experience managing infrastructure for large-scale ML projects.
• Familiarity with CI/CD, automation, and containerization.
• Experience with distributed systems and inference at scale.
• Proficiency in Python or GO.
• Experience with GCP and ML frameworks.
• Excellent problem-solving skills.

Benefits

• Meaningful work with an international team.
• Free mental health coaching sessions and yoga.
• Monthly allowance for services.
• Employee stock options.
• 30 annual vacation days and flexible hours.
• Work from abroad for up to six weeks a year.
• Opportunities for team socialization.
• Free tax declaration filing through the Taxfix app.
• Dog-friendly office environment.