ML / AI Platform Engineer

Job summary

Design, build, and operate shared platform capabilities for machine learning and AI solutions. Collaborate with product teams and engineers to enhance the developer experience while ensuring security and reliability across cloud services.

Qualifications

• Experience with cloud platforms in AWS, Azure, or GCP
• Understanding of infrastructure as code
• Programming skills in Python or modern languages
• Experience with CI/CD pipelines and Git workflows
• Knowledge of cloud networking and security controls
• Experience managing containerized workloads
• Strong troubleshooting skills across infrastructure and applications
• Experience building reusable platform capabilities
• Ability to lead technical initiatives
• Strong collaboration and communication skills
• Growth mindset and ability to learn new technologies

Responsibilities

• Design, build and operate shared platform capabilities for ML and AI solutions
• Create reusable infrastructure, tooling, and automation to improve developer experience
• Build and maintain cloud-native platform services for deployment, networking, security, and governance
• Collaborate with product teams and data scientists to provide scalable platform solutions
• Drive engineering excellence through automation and reliability practices
• Contribute to AI and ML platform strategy ensuring security and cost-effectiveness
• Troubleshoot complex technical issues across cloud services and applications
• Support and mentor engineers, sharing knowledge and driving improvement

Skills

Relocation