- 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 Behavioral 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.