ML QA Engineer
PubMatic (Nasdaq : PUBM) is an independent technology company maximizing customer value by delivering digital advertising’s supply chain of the future.
PubMatic’s sell-side platform empowers the world’s leading digital content creators across the open internet to control access to their inventory and increase monetization by enabling marketers to drive return on investment and reach addressable audiences across ad formats and devices.
Since 2006, our infrastructure-driven approach has allowed for the efficient processing and utilization of data in real time.
By delivering scalable and flexible programmatic innovation, we improve outcomes for our customers while championing a vibrant and transparent digital advertising supply chain.
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.
Bachelors in Computer Science / Engineering; Masters is desirable.
1 to 3 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