Tech Stack

Description

You will design tools, automation, and pipelines to make ML development seamless and intuitive. Your work will empower AI teams by removing infrastructure complexity, enabling them to focus on building impactful models and intelligent agents.

Requirements

• Hands-on experience with Kubernetes, GCP, AWS, and ML orchestration frameworks
• Solid understanding of ML lifecycle
• Ability to own projects end to end
• Customer-centric mindset
• At least 3 years Python experience writing clean code in ML codebases

Responsibilities

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks
• Develop robust monitoring, logging, and tracing systems for ML workflows
• Design, implement, and maintain end-to-end ML pipelines
• Work with large-scale distributed systems, including GPU clusters
• Collaborate with product and development teams to transform high-level goals into scalable systems