Ml Qa Engineer Job in Pubmatic

Job Descriptions :

As aMachine learning QA engineer, you will work closely with the Product Management,Data scientist andMLAnalystto understand theML algorithmrequirements.You will be setting theMLQA team s technical vision and roadmap, developingML test strategiesand tracking project schedules. The successfulML-QAhas strongtechnical aptitudeand is obsessed with continuous quality improvementin ML field; they are experienced and highly committed to creating world class automation for feature testing and regressionfor different ML models.

Responsibilities:

• Design,develop and review test automation tools, frameworksfor distributed systems and machine learning models.
• Understanding of machine learning techniques, data structures, algorithms, statistics.
• Proficiency of python language,working knowledge ofpytestis a plus.
• Drive improvements in the existing automation framework to improve quality and maintainability.
• Strong experience setting up automated test systems using Jenkinto build various full stack testing suites.
• Work closely with Project Architects to make sure that thefunctional, non-functionalrequirementsare 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 practicesused 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.

• 1 to 3years 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