ML Platform Engineer

Job not on LinkedIn

🕒 April 23

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Zigsaw

11 - 50 employees

Founded 2016

Making Job-search and talent discovery simpler, faster and effective for Job-seekers.

📋 Description

• Scale the decision making process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments • Improve the developer experience for the data science team • Upgrade our observability tooling • Make every deployment smooth as our infrastructure evolves.

🎯 Requirements

• Deep understanding of Linux • Excellent writing skills • A systems-oriented mindset • Experience in high-performance software (RTB, HFT, etc.) • Software engineering experience + reliability (e.g. CI/CD) expertise • Strong observability instincts • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review) • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables • Nice-To-Haves • Reverse-engineering experience • Terraform, EKS, or MLOps experience • Python, Scala, or Zig experience • NixOS experience • Adtech or CTV experience • Experience deploying a distributed system across multiple clouds • Experience in hard real-time low-latency (<10 ms) environments

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