Position Details
About this role
Lead the development and management of enterprise AI training and inference platforms, focusing on Generative AI, distributed systems, and high-performance deployment.
Key Responsibilities
- Architecting AI infrastructure
- Leading AI/ML model deployment
- Optimizing inference performance
- Managing compute resources
- Mentoring teams
Technical Overview
Expertise in AI/ML training pipelines, inference optimization, GPU clusters, and deployment frameworks like TensorFlow and PyTorch, with a focus on scalable, real-time AI systems.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with 8+ years of experience in training pipeline architecture, inference optimization, and deploying large-scale AI models. They possess deep technical expertise, leadership qualities, and the ability to guide teams on cutting-edge Generative AI initiatives.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with AI/ML training pipelines, No leadership or mentoring experience, No experience with GPU clusters or distributed computing, Absence of advanced degree in relevant fields
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