ML Ops Engineer - AI Team - Remote

Overview

As an ML Ops Engineer at CUJU, you will be instrumental in operationalizing and scaling AI and machine learning models, collaborating with AI and Data Science teams to build and maintain ML systems.

In Short

• Develop, deploy, and manage production-grade AI and ML pipelines.
• Build and maintain scalable, automated infrastructure and CI/CD pipelines.
• Implement monitoring tools to track model performance and optimize efficiency.
• Collaborate with AI engineers and data scientists for effective integration.
• Establish best practices in ML Ops, including version control and security.

Requirements

• 5+ years of experience in ML Ops or similar roles.
• Strong experience with ML frameworks like PyTorch or TensorFlow.
• Expertise in containerization (Docker, Kubernetes) and cloud infrastructure.
• Proven track record in deploying and scaling ML models.
• Proficiency in automation tools and CI/CD pipelines.
• Experience with monitoring tools for ML systems.
• Excellent communication skills in English.
• Passion for technology and sports analytics.

Benefits

• Pivotal role in shaping ML operations strategy.
• Opportunity to contribute to innovative products.
• Competitive compensation and remote working flexibility.
• Collaborative environment with AI experts and industry stakeholders.