Position Details
About this role
This role involves working on generative AI solutions at AWS, focusing on model training, inference, and deployment using cloud infrastructure and frameworks like PyTorch and JAX. The candidate will collaborate with teams to develop scalable AI models for enterprise customers.
Key Responsibilities
- Develop generative AI models
- Support model training and inference
- Collaborate with engineering teams
- Deploy scalable AI solutions
- Optimize cloud AI workflows
Technical Overview
Environment includes AWS cloud services, Kubernetes, Slurm, PyTorch, JAX, NCCL, MPI, and MLOps tools. Focus on AI model training, inference, and deployment in a cloud-native environment.
Ideal Candidate
The ideal candidate is a solutions architect with expertise in generative AI, AWS cloud infrastructure, and model training and inference. They should have experience with Kubernetes, PyTorch, JAX, and MLOps, and be capable of engaging with customers to deploy scalable AI solutions.
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 generative AI, No AWS cloud experience, No knowledge of model training or inference, Unfamiliar with Kubernetes or MLOps, No customer engagement experience
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