Requirement analysis for computer vision projects, test data analysis & scenarios designing, scripting and execution, debugging and unit testing, systems integration, and field testing.
Capture and detail the outcome of test or script executions and findings needed to support ongoing measurement and reports risks, defects, tests, and coverage to stakeholders.
Perform testing activities as per standard V&V practices and Quality Assurance
Maintain thorough documentation of software artefacts test scripts, test results, defect logging & categorization to expedite resolution.
Effectively communicate issues and risks in addition to daily testing status to Team Lead or Test Lead
Ensures timely delivery and quality of the deliverables for the assigned work.
Skills & Qualification
Experience as System engineer/Data science/QA/algorithms evaluation in multi-disciplinary system.
Degree or MCA in Computer Science/Computer Engineering, or a Degree in Electrical/Electronics & Communication (or equivalent) with a minimum of 4+ years of experience.
Experience of programming in Python/C/C++/Matlab.
Experience working in Linux environment and familiarity with bash scripting.
Computer vision and machine learning background.
Experience in designing or testing system level features in a Machine Learning based algorithms.
Must have worked in Optics and imaging systems.
Experience in Algorithm evaluation and validation processes.
Strong QA/QC methodology skills.
DESIRED BEHAVIOURAL VALUES
Good analytical skills, communication, and presentation abilities
Consistently provide ideas, opinions, or information in a professional way.
Understand IP & trademark policies and actively promote safe practices in projects having quite a bit of R&D.
