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Job Description & How to Apply Below
- Design and advise on the AI/ML system architecture, including cloud and on-premise infrastructure.
- Support the selection, onboarding, and engagement of AI platform vendors and ecosystems.
- Ensure platform scalability, performance, and security across AI use cases.
- Advise on infrastructure evaluation and integration strategies.
- Collaborate with data engineering and MLOps teams to ensure seamless deployment and operations.
- Prevent vendor lock-in while enabling access to advanced AI capabilities.
- Support solution capability development and infrastructure optimization.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Minimum 8 years of experience in AI/ML architecture and infrastructure design.
- Deep expertise in cloud platforms (AWS, Azure, GCP) and on-premise systems.
- Strong understanding of MLOps, data engineering, and integration frameworks.
- Proven experience in vendor evaluation, onboarding, and ecosystem management.
- Knowledge of infrastructure scalability, performance tuning, and security best practices.
- Excellent problem-solving, communication, and stakeholder engagement skills.
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