AI Infrastructure / ML Engineer (Remote) at CapaCloud | Remote

Job Description

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CapaCloud is seeking a talented and experienced AI Infrastructure / ML Engineer to join our dynamic, remote team. In this role, you will play a pivotal part in designing, building, and maintaining the robust infrastructure that powers our cutting-edge AI and machine learning solutions. If you are passionate about enabling scalable and efficient ML operations and possess a strong academic background coupled with practical experience, we encourage you to apply.

Job Overview

This remote position is crucial for ensuring the reliability, scalability, and performance of CapaCloud’s AI/ML platforms. You will work collaboratively with our engineering and data science teams to streamline the ML lifecycle and foster innovation.

Key Responsibilities

• Design, implement, and manage scalable AI/ML infrastructure.
• Develop and maintain MLOps pipelines for model training, deployment, and monitoring.
• Optimize compute resources and storage for AI workloads.
• Ensure the security and compliance of ML systems.
• Automate deployment, scaling, and management of ML models.
• Troubleshoot and resolve infrastructure-related issues.

Requirements

• Master’s Degree in Computer Science, Engineering, or a related field.
• Proven experience with AI/ML infrastructure.
• Demonstrated expertise in MLOps principles and tools.
• Strong understanding of cloud platforms (e.g., AWS, Azure, GCP).
• Proficiency in containerization technologies (e.g., Docker, Kubernetes).
• Excellent problem-solving and analytical skills.

What We Offer

• The opportunity to work on groundbreaking AI technologies.
• A fully remote work environment with flexible hours.
• A collaborative and innovative company culture.
• Continuous learning and professional development opportunities.
• Competitive compensation package.