AI Platform Engineer | WFH

Job Description

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Build and maintain scalable AI and ML infrastructure.

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Deploy AI models across cloud and production environments.

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Automate MLOps workflows, monitoring, and model lifecycle management.

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Optimize platform performance, security, and reliability.

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Collaborate with data scientists and engineering teams.

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Implement CI/CD pipelines for AI applications.

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Support AI governance and platform best practices.

Qualifications and Requirements

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3+ years platform, cloud, or MLOps engineering experience.

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Experience with AWS, Azure, or Google Cloud.

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Strong Python, Docker, and Kubernetes skills.

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Experience with ML deployment and model serving.

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Knowledge of CI/CD, Git, and Infrastructure-as-Code.

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Familiarity with MLflow, Kubeflow, or similar tools.

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Strong troubleshooting and automation skills.

Perks and Benefits

• Comprehensive health and life insurance on your 16th day of employment, covering 1 free dependent on the 16th day of employment
• Up to 24 leave credits per year
• Flexible leave credits which may be used for vacation, emergency and sick leaves
• Quarterly perks boxes for WFH staff, offering groceries and snacks to keep you fueled
• Superb and exciting Mid-Year Parties – with items to give away and cash prizes!
• Endless opportunities for career advancement
• Annual Performance Review with Salary Increase
• We set you up for success with a company-provided PC/Laptop and fiber internet connection
• Tech-on-wheels Support
• Participate and join our CS Social Clubs and Special Interest Groups to connect with colleagues
• International career growth and connections
• Unlimited cash incentives for hired referrals
• Mental Wellness Employee Assistance program through Lifeworks
• In-house psychiatrist available to support employees' well-being
• Become part of the Employee Share Units program
• Cloudstaff Dream Points - To be used for bidding useful items like appliances, kitchenettes etc.

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