Ccube prides itself on being an employer of choice, consistently attracting exceptional and talented individuals thanks to its unwavering focus on cutting-edge technologies and exclusive data driven projects.
Ccube is a rapidly growing digital technology service provider and a preferred partner for numerous Fortune 500 companies aiming to leverage disruption for competitive advantage through innovative digital strategies. Ccube leverages its proficiency in transforming customer experiences, data analytics, artificial intelligence, platform and product engineering, cloud infrastructure, and security to assist clients in rapid innovation for expansion, development of digital products, establishment of service platforms, and enhancement of data-driven performance.
MLOps Engineer
Dallas, TX
6-12+ months​​​​​​​
 

• Design, implement, and manage end-to-end Machine Learning Operations (MLOps) processes.
• Collaborate with cross-functional teams to integrate ML models
• seamlessly into production using tools such as GitHub Actions.
• Drive the implementation of best practices for ML model deployment,
• monitoring, and maintenance throughout the entire ML lifecycle.
• Work closely with Data Scientists and DevOps teams to streamline the
• deployment process and ensure scalability.
• Proven experience in MLOps, DevOps, and Machine Learning lifecycle management.
• Strong proficiency with Docker and container orchestration tools.
• In-depth knowledge of GitHub Actions for CI/CD workflows.
• Hands-on experience with Amazon SageMaker and AWS services.
• Familiarity with infrastructure as code (e.g., Terraform).
• Previous work with Weights and Biases tool.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.