Exciting Opportunity: ML and DevOps Engineer

Key Responsibilities:

1. Infrastructure Management:

• Provision and maintain both internal and external cloud infrastructure, ensuring optimal uptime, performance, and security.

1. Continuous Integration and Deployment (CI/CD):

• Implement, maintain, and optimize CI/CD pipelines for software and ML models.

1. Model Training and Deployment Automation:

• Automate ML model training and deployment processes, ensuring adaptability to new data or configurations.

1. Collaboration:

• Work closely with software developers and data scientists, optimizing workflows and ensuring seamless deployments.

1. Data Management:

• Ensure efficient and reproducible data pipelines, managing data quality and validation.

1. Documentation:

• Maintain detailed documentation on MLOps and DevOps processes, model details, and best practices.

1. Security:

• Implement best practices to ensure data and application security.

1. Disaster Recovery:

• Design and implement strategies for data and application backups and recovery.

1. Ad Hoc Development and Project Tasks.

What We’re Looking For:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• +3 years of proven experience in both DevOps and MLOps environments, with a track record of implementing CI/CD processes and ML workflows.
• Technical Skills: Proficiency with cloud platforms and common DevOps/ML Ops tools.
• Strong understanding of containerization, infrastructure automation, and machine learning development and deployment.

Pay & Benefits:

• Base pay is part of the total compensation package, determined within a range.
• Base pay range for this role: £70,000 to £85,000, based on skills, qualifications, experience, and location.

Work Arrangement:

• Hybrid role, requiring at least ~60% on-site presence.

Join Us in Building the Future!

To Apply:
Send your CV and a brief cover letter to hr@caint.io. This is your chance to be part of an innovative team shaping the future. Apply today!