Machine Learning Engineer (AUTOMATION) - Bengaluru | Zoek India
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Machine Learning Engineer (AUTOMATION)
Permanent (Full time)
Responsibilities Design and develop QA test automation/frameworks in Java or experience working with Python Automation using python libraries. Hypothesis Testing and Design of experiments to analyse and monitor results Experience with unstructured data and text mining skillset (with data sampling) Create, optimize, and execute functional, integration, regression, stress, and user acceptance test plans and cases, and generate test artifacts. Report on product quality, test coverage, and test execution metrics using Jira Help resolve identified data model & its quality issues. Drive continuous improvement of testing practices. Maintain relationships with 3rd party software and service providers involved in the infrastructure. Ensure compliance of the infrastructure to the Danaherâs Quality Management System Lead and prioritize work for assigned projects to ensure on-time delivery. Collaborate and coordinate work as needed with multi-site development teams. Key requirement: Experience in defining Test Strategy for AI/ ML/DL Testing projects Experience in testing Data science model Test software for high performance, reliability, and usability as a vital part of our Agile-based software development process. Bachelorâs degree in computer science or related field. Advanced degree preferred 4 to 8 years of experience in relevant data model & science. Energetic and passionate about being successful and open to different technologies Knowledge of professional software engineering practices & standard methodologies. A proven teammate and problem solver with the ability to work collaboratively to brainstorm, uncover key issues, troubleshoot and recommend/implement solutions Open to travel ( Preferred Requirements: Knowledge of Big Data concepts will be a plus. CI/ CD and API Testing experience will be a plus Experience and knowledge of Git, JIRA, and Jenkins Proficiency in any of scripting languages (Bash, Python, Ruby), compiled languages (Java) and Python. Experience with architecture, application design, and development guidance that ensures performance and scalability. Experience in digital health industry with HIPAA compliance training Ability to work with multi-geography/site teams.