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.

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

• 1 to 3 years of experience in distributed application testing

• Exposure of Machine Learning algorith