Senior AI/ML Specialist Solutions Architect
Benefits
20w maternity
12w paternity
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Responsibilities:
- Architect and optimize distributed training and inference systems for large-scale AI models
- Design and deliver customer-focused solutions that maximize performance and business value
- Lead the transition of ML pipelines from POC to scalable production systems
Requirements:
- 5+ years of experience with cloud technologies and infrastructure
- Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments
- Demonstrated success in delivering ML products, scaling from POC to production
Technical Skills:
- Deep knowledge of ML frameworks like PyTorch and JAX
- Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband)
- Programming Languages: Python, Go, Java, C++
NVIDIA
The company offers an AI-centric cloud platform reshaping the landscape of artificial intelligence. They provide infrastructure, tools, and services for developers to service the explosive growth of the global AI industry, catering to Fortune 1000 companies, startups, and AI researchers.