QA MACHINE LEARNING ENGINEER

C3.
i, Inc.
(NYSE.
I) is a leading Enterprise AI software provider for accelerating digital transformation.
The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches.
The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement.
Learn more at.
C3 AI C3 AI is seeking for a QA Machine Learning Engineer to work with Platform Engineering, Product Development, QA, and Operations, to drive the software quality automation solutions for our existing Machine learning Infrastructure.
You will be part of a team of highly skilled dedicated engineers to ensure that we are shipping the highest quality software possible.
This is a great opportunity to work with cutting-edge artificial intelligence and machine learning technologies.
Responsibilities.
Improve software tooling and operational procedures for standing-up, monitoring and troubleshooting the Model Inference Service.
Take ownership of the operational aspects of such a service for internal use in C3 AI.
Help disseminate operations knowledge to customers who wish to stand up the Model Inference Service.
Write and maintain playbooks and runbooks for customer Site Reliability Engineers (SREs).
Contribute to existing (or develop new) dashboards and tooling to monitor Quality-of-Service (QoS) of the Model Inference Service.
Become a C3 AI Suite and C3 AI SaaS application expert to thoroughly understand all use case scenarios.
Design and develop automated test suites for new C3 AI products and features.
Automate and maintain test execution flow via Continuous Integration in Jenkins.
Work with performance engineers to build automation for performance, scalability, and reliability tests.
Perform analysis to identify root cause for defects identified during the release validation process.
Qualifications.
Bachelor’s degree in a Science, Technology, Engineering or Math (STEM) field.
Good understanding of software development lifecycle, and automation testing solutions.
Advanced programming and troubleshooting skills.
Clear understanding of Agile software development methodology.
Outstanding team player with excellent interpersonal skills.
Preferred Qualifications.
Strong understanding of common machine learning techniques, Python programming, and quality assurance methodologies.
Proficiency with Linux command line tools, shell scripting, Node.
s, Python, and JavaScript.
Proficiency working with web applications and cloud deployments (AWS, Azure, GCP).
Experience with container orchestration technologies (Kubernetes).
Experience with cloud infrastructure technologies.
Experience with logging and monitoring tools such as OpenSearch, Graphana, and Glowroot.
Great verbal and written communication skills to collaborate multi-functionally.
C3 AI provides a competitive compensation package and excellent benefits.