Remote Work: No

Overview: At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer’s and partner’s needs and solve their challenges.
Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve.
You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about – locally and globally. We’ve only begun reimaging the future – for our people, our customers, and the world.
Let’s create tomorrow together.
Develop Test Strategies: Formulate comprehensive test strategies for both functional and performance testing within a Continuous Integration (CI) framework, specifically targeting Gen AI and ML-based features/models.Application Development: Create and maintain test applications for Gen AI and ML-based features/models across multiple programming environments, including Android Java, C++, and Python.Dataset Creation: Generate representative datasets that accurately reflect real-world scenarios to validate model accuracy and performance.Model Evaluation: Execute rigorous testing procedures to analyze the functionality and performance of AI and ML models. This includes evaluating object detection, recognition, and OCR capabilities.
Responsibilities:
Develop comprehensive test strategies for both functional and performance testing of Generative AI and machine learning-based features/models, with a particular emphasis on computer vision applications.Design and implement test applications for Generative AI and machine learning models, including object detectors, recognizers, and OCR systems.Create and manage large, representative datasets for model training and validation, ensuring high-quality data annotation and effective dataset management.Execute and analyze model functionality and performance, providing detailed insights and recommendations for improvement.
Qualifications:
Application Development Proficiency:Strong skills in application development, particularly with SDKs that offer various language bindings such as Android Java and Python.Python Scripting Expertise:Proficient in Python, with a deep understanding of machine learning, computer vision, data visualization, and data analysis packages.ML Testing and Performance Analysis:Extensive experience with machine learning testing strategies, including the ability to perform performance analysis of AI models.Familiarity with data science principles, including data annotation, visualization, cleaning, statistical analysis, data governance, and security.Model Evaluation and MLOps:Skilled in evaluating machine learning models, with a solid understanding of model evaluation metrics.Experience with MLOps practices and platforms, such as Weights & Biases, to streamline model development and deployment processes.Computer Vision Focus:Proven experience in computer vision projects, particularly those involving large and complex datasets.Ability to manage and annotate large datasets effectively to ensure accurate model validation and performance tuning.Prior experience in testing AI solutions in a production environment.Experience working with generative AI models and their specific challenges.Strong analytical and problem-solving skills, with a keen attention to detail.

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