AI Platform Engineering & Data Science Lead (Remote)
Ferguson
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Job summary
Ferguson is seeking a IT Manager, AI Platform Engineering & Data Science to lead a team building scalable AI platforms across GCP and hybrid-cloud. You will shape engineering standards, DevSecOps maturity, and MLOps capabilities to accelerate production-ready AI solutions.
The role collaborates with AI Engineering, Data Science, Product, and Architecture to modernize platforms, improve developer experience, and deliver measurable business value while balancing security and reliability across the
Qualifications
- Bachelor’s degree in information technology, computer science or related field or equivalent experience.
- 5+ years hands-on platform engineering experience.
- Experience in ML implementation and data analytics enablement.
- Hands-on software engineering with Java and/or Python; CI/CD and DevSecOps.
Responsibilities
- Lead a team of platform engineers, architects, and data scientists.
- Define platform, cloud, and data science roadmaps aligned with AI strategy.
- Design scalable, secure platform capabilities across GCP and hybrid-cloud.
- Drive DevSecOps, CI/CD, automation, and platform reliability.
- Support MLOps, model development, training, deployment, monitoring.
Skills
Education
Tools
Job description
Ferguson is seeking a IT Manager, AI Platform Engineering & Data Science to lead a team building scalable AI platforms across GCP and hybrid-cloud. You will shape engineering standards, DevSecOps maturity, and MLOps capabilities to accelerate production-ready AI solutions.
The role collaborates with AI Engineering, Data Science, Product, and Architecture to modernize platforms, improve developer experience, and deliver measurable business value while balancing security and reliability across the
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