Assistant Maintenance — Tpm & Plant Machinery Lead

Our client is seeking a skilled Machine Learning Operations (MLOps) Engineer to join their fully remote, high-performing team. This role is essential for bridging the gap between machine learning development and IT operations, ensuring the reliable deployment, monitoring, and maintenance of ML models in production. You will be responsible for building and automating ML pipelines, managing infrastructure, and implementing best practices for scalability and efficiency.

This is an excellent opportunity for an experienced engineer to drive operational excellence in AI and contribute to the success of cutting-edge ML applications from anywhere.

Our client is seeking a skilled Machine Learning Operations (MLOps) Engineer to join their fully remote, high-performing team. This role is essential for bridging the gap between machine learning development and IT operations, ensuring the reliable deployment, monitoring, and maintenance of ML models in production. You will be responsible for building and automating ML pipelines, managing infrastructure, and implementing best practices for scalability and efficiency.

This is an excellent opportunity for an experienced engineer to drive operational excellence in AI and contribute to the success of cutting-edge ML applications from anywhere.

• Design, implement, and maintain CI/CD pipelines for machine learning models.
• Automate the deployment, scaling, and monitoring of ML models in production environments.
• Develop infrastructure and tooling to support the machine learning lifecycle.
• Collaborate with data scientists and software engineers to troubleshoot and resolve production issues.
• Implement robust monitoring, logging, and alerting for ML systems.
• Ensure the security, reliability, and performance of ML infrastructure.

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Proven experience in MLOps, Dev Ops, or a similar role focused on automation and infrastructure.
• Strong proficiency in scripting languages ( e.g., Python ) and containerization technologies ( e.g., Docker, Kubernetes ).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Familiarity with ML frameworks and model deployment strategies.
• Excellent problem-solving skills and ability to work independently in a remote setting.

• Highly competitive salary and performance-based rewards.
• Fully remote work arrangement, offering exceptional work-life balance and flexibility.
• Comprehensive health, dental, and vision insurance coverage.
• Generous budget for professional development, certifications, and attending virtual conferences.
• Opportunity to work with a talented, globally distributed team on impactful AI projects.