QA Machine Learning Engineer

Guadalajara, Mexico

Applications have closed

C3.ai

C3 AI is a leading enterprise AI software provider for building enterprise-scale AI applications and accelerating digital transformation.

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C3.ai, Inc. (NYSE:AI) 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
  • Possess a good understanding of software development lifecycle, and automation testing solutions.
  • Advanced programming and troubleshooting skills.
  • Possess a 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, Bash Scripting Node.js, 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.
  • Logging and monitoring tools: OpenSearch, Grafana, Glowroot.
  • Great verbal and written communication skills to collaborate multi-functionally and improve scalability.
  • Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment.

C3 AI provides a competitive compensation package and excellent benefits.

Employee Testimonial - Juan Castaneda from C3 on Vimeo.

C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status. 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Azure Engineering GCP Grafana JavaScript Kubernetes Linux Machine Learning Mathematics ML infrastructure Model inference Node.js OpenSearch Python R STEM Testing

Perks/benefits: Career development Competitive pay Health care

Region: North America
Country: Mexico
Job stats:  8  0  0

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