Solutions Architect
Core
Design and implement cloud infrastructure and MLOps solutions for enterprise clients, acting as a trusted technical advisor for building ML/AI pipelines.
Role type
Senior Cloud Solutions Architect (MLOps & GPU Cloud)
Builds
Production-ready GPU cloud infrastructure and ML training/inference pipelines for enterprise customers
Domain
Cloud Infrastructure, MLOps, GPU Computing, AI/ML
Deliverable
production ML models | infrastructure
Required skills
Cloud solutions architecture, Infrastructure as Code (Terraform/Ansible), Kubernetes, Python programming, GPU computing practices, ML training and inference workloads, Cloud resource optimization
Preferred skills
HPC/ML orchestration frameworks (Slurm, Kubeflow), Deep learning frameworks (TensorFlow, Pytorch), Cloud ML tools landscape (NVIDIA, AWS, Azure, Google)
Responsibilities
Conduct PoCs, workshops, and training sessions to educate clients on GPU cloud technologies; Collaborate with clients to design and document Infrastructure as Code solutions; Optimize customer pipeline performance and scalability; Act as a single point of expertise for product, technical support, and marketing teams; Assist marketing department during events (Hackathons, conferences, webinars)
Seniority
Senior, hands-on IC
