ML Engineer / DevOps AWS - Remote

Overview

CUJU is on a mission to become the new digital standard in athlete identification and development in global sports. Our platform harnesses AI, advanced analytics, and digital networking to democratize the access to knowledge, development and career opportunities independent of gender, ethnics or origin. We digitally empower athletes and sports organizations with unbiased and data driven insights on our way to redefine the future of talent scouting.

In Short

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

Requirements

• 5+ years of experience in ML Ops and DevOps.
• Strong experience with machine learning frameworks such as PyTorch or TensorFlow.
• Expertise in containerization technologies (Docker, Kubernetes) and AWS cloud infrastructure.
• Proven track record 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

• A pivotal role shaping CUJU’s ML operations strategy.
• Opportunity to contribute significantly to innovative products.
• Competitive compensation package and remote working flexibility.
• Collaborative environment with AI experts and data scientists.