ML QA Engineer

PubMatic

Pune, IN
  • Job Type: Full-Time
  • Function: Engineering QA
  • Post Date: 01/18/2021
  • Website: pubmatic.com
  • Company Address: 305 Main Street 1st Floor, Redwood City, CA, 94063

About PubMatic

PubMatic is a digital advertising technology company for premium content creators. The PubMatic platform empowers independent app developers and publishers to control and maximize their digital advertising businesses. PubMatic’s publisher-centric approach enables advertisers to maximize ROI by reaching and engaging their target audiences in brand-safe, premium environments across ad formats and devices. Since 2006, PubMatic has created an efficient, global infrastructure and remains at the forefront of programmatic innovation. Headquartered in Redwood City, California, PubMatic operates 13 offices and nine data centers worldwide.

Job Description

As a Machine learning QA engineer, you will work closely with the Product Management, Data scientist and ML Analyst to understand the ML algorithm requirements. You will be setting the ML QA team’s technical vision and roadmap, developing ML test strategies and tracking project schedules. The successful ML-QA has strong technical aptitude and is obsessed with continuous quality improvement in ML field; they are experienced and highly committed to creating world class automation for feature testing and regression for different ML models. 

Responsibilities: 

  • Design, develop and review test automation tools, frameworks for distributed systems and machine learning models. 
  • Understanding of machine learning techniques, data structures, algorithms, statistics. 
  • Proficiency of python language, working knowledge of pytest is a plus. 
  • Drive improvements in the existing automation framework to improve quality and maintainability.  
  • Strong experience setting up automated test systems using Jenkin to build various full stack testing suites. 
  • Work closely with Project Architects to make sure that the functional, non-functional requirements are properly addressed and traced in the solution architecture  
  • Develop and maintain domain, product and process knowledge to directly influence the product quality, software engineering productivity and development process maturity 
  • Provide technical leadership and direction to testing team members to adherence to coding, quality, functionality, performance, scalability and on-time delivery standards. 
  • Define, improve and automate metrics collection and reporting 
  • Drive test effectiveness and efficiencies throughout the team 
  • Drive research of industry trends and apply best practices in quality engineering practices used in evolving machine learning techniques. 
  • Provide consulting services on techniques to achieve of quality goals through education, training, coaching and collaboration 
  • Keep current on new technologies and make recommendations on future direction for quality engineering as well as apply latest techniques and industry information as appropriate. 

 

 

Qualifications

  • Bachelors in Computer Science/ Engineering; Masters is desirable.

  • 5+ years of experience in distributed application testing   

  • Exposure of Machine Learning algorithms 

  • Expertise in developing the automation suites, frameworks for verification of distributed systems and machine learning models 

  • Demonstrated experience designing scalable and maintainable automated testing solutions for large scale systems 

  • Working knowledge of load generation/load balances/Controllers/performance measurement software 

  • Demonstrated ability to learn and apply new technology, tools and process 

  • Excellent English written and verbal communication skills 

  • Demonstrated collaborative and mentoring skills 

  • Experience of working in an agile environment 

 

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.