Position Details
About this role
This role involves leading the design and deployment of scalable AI platforms on-premises and in GCP, ensuring high performance, security, and reliability for enterprise AI solutions.
Key Responsibilities
- Lead AI platform design
- Implement scalable AI solutions
- Ensure platform security and performance
- Collaborate with data scientists and engineers
- Drive strategic AI initiatives
Technical Overview
Technical environment includes AI/ML frameworks like Spark and PyTorch, container orchestration with Kubernetes and Docker, and cloud deployment on Google Cloud Platform, focusing on scalable, secure AI infrastructure.
Ideal Candidate
The ideal candidate is a lead machine learning engineer with over 5 years of software engineering experience, proficient in AI/ML frameworks like Spark, PyTorch, Kubernetes, and Docker, with experience deploying scalable AI solutions on GCP.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Less than 5 years of software engineering experience, No experience with AI/ML frameworks, Lack of leadership or mentoring experience, No experience with GCP or cloud deployment
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