Senior DevOps AWS/ MLOps Engineer AI Team - Remote

Overview

As a Senior DevOps AWS/ MLOps Engineer on the AI Team, you will operationalize and scale AI and machine learning models, collaborating with AI and Data Science teams to build, deploy, and maintain robust ML systems.

In Short

• Develop and manage production-grade AI and machine learning pipelines.
• Build and maintain scalable, automated infrastructure and CI/CD pipelines.
• Implement monitoring tools to track model performance.
• Collaborate with AI engineers, data scientists, and software engineers.
• Establish best practices in ML Ops.

Requirements

• 5+ years of experience in ML Ops/DevOps.
• Strong experience with ML frameworks like PyTorch or TensorFlow.
• Expertise in Docker, Kubernetes, and AWS.
• Proven track record deploying 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.
• 30-day vacation.