Staff Platform Engineer (Hybrid) at Fiddler AI

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Machine Learning, TechnologyIndustries

Requirements

Experience with platform engineering best practices from the industry
Expertise in managing containers-based model serving platforms
Ability to operate in hosted multi-cloud environments and customer on-premise VPCs
Skills in operating underlying infrastructure (compute, networking, storage, etc.)
Knowledge of CI/CD, local development environments, documentation, compliance, and upgrading processes

Responsibilities

Help build the future platform using best practices from the platform engineering community
Build self-service infrastructure for engineers and customers to ship code quickly and reliably
Manage the containers-based model serving platform in hosted multi-cloud environments and customer on-premise VPCs
Operate underlying infrastructure (compute, networking, storage, etc.)
Own the development experience for customers, including CI/CD, local development environment, documentation, compliance, upgrading, and more
Establish monitoring and infrastructure health reporting

Skills

Platform Engineering

Observability

Monitoring

Data Science

Scalability

Cloud Platforms

DevOps

Kubernetes

Docker

Python

AWS

Fiddler AI

AI observability and model monitoring platform

About Fiddler AI

Fiddler AI offers an AI Observability platform specializing in model monitoring, explainable AI, and analytics, with a focus on deep XAI integration for MLOps systems at scale. The platform provides comprehensive XAI integration for stable and secure MLOps systems at scale.

Palo Alto, CaliforniaHeadquarters

2018Year Founded

$65MTotal Funding

SERIES_BCompany Stage

Government & Public Sector, AI & Machine LearningIndustries

51-200Employees

Risks

Competition from tech giants like Google and Microsoft threatens market share.

Rapid AI advancements may outpace Fiddler's platform updates, risking obsolescence.

Over-reliance on venture capital funding poses financial risks if future rounds falter.

Differentiation

Fiddler AI integrates deep XAI and analytics for advanced model capabilities.

It offers a unified environment for MLOps, enhancing trust in AI systems.

Fiddler's platform addresses challenges in building secure MLOps systems at scale.

Upsides

Fiddler's partnership with Google Cloud enhances scalability and customer reach.

Focus on AI safety aligns with industry trends, attracting enterprises seeking responsible AI.

Expansion into finance and healthcare allows tailored solutions for industry-specific needs.

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