Key Responsibilities:
- Infrastructure Management:
- Provision and maintain both internal and external cloud infrastructure, ensuring optimal uptime, performance, and security.
- Continuous Integration and Deployment (CI/CD):
- Implement, maintain, and optimize CI/CD pipelines for software and ML models.
- Model Training and Deployment Automation:
- Automate ML model training and deployment processes, ensuring adaptability to new data or configurations.
- Collaboration:
- Work closely with software developers and data scientists, optimizing workflows and ensuring seamless deployments.
- Data Management:
- Ensure efficient and reproducible data pipelines, managing data quality and validation.
- Documentation:
- Maintain detailed documentation on MLOps and DevOps processes, model details, and best practices.
- Security:
- Implement best practices to ensure data and application security.
- Disaster Recovery:
- Design and implement strategies for data and application backups and recovery.
- 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!
