Tech Stack

Description

You will help global companies adopt AI/ML by designing and implementing solutions using open source technologies like Kubeflow, MLFlow, and Feast on public and private cloud infrastructure. You'll work closely with enterprise sales leads, delivering presentations, training, and architectural guidance to solve complex data and machine learning challenges.

Requirements

• Exceptional academic record, undergraduate degree in technical subject or equivalent experience
• Experience in data engineering, MLOps, or big data solutions deployment
• Practical knowledge of Linux, virtualization, containers, and networking
• Knowledge of cloud computing (Kubernetes, AWS, Azure, GCP)
• Intermediate Python programming skills and interest in large-scale enterprise open source

Responsibilities

• Design ML architectures for external customers using open source tools on cloud and on-premise infrastructure
• Deliver solutions on Kubernetes, Kubeflow, OpenStack, Spark and deploy in public cloud (AWS, Azure, GCP)
• Collect business requirements and advise clients on Ubuntu and open source applications
• Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to clients
• Liaise with product teams to influence roadmap based on customer feedback