Remote Work: No
- 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:
- Application Development Skills:
- Proficiency in developing applications using Android Java, C++, and Python.
- Experience with the Zebra SDK and its various language bindings is a plus.
- Python Scripting:
- Strong skills in Python, particularly for ML, Computer Vision (CV), data visualization, and data analysis tasks.
- ML Testing and Performance Analysis:
- Experience in ML testing strategies, including model evaluation and performance analysis.
- Familiarity with data science practices such as data annotation, data visualization, data cleaning, and statistical analysis.
- Knowledge of data governance and security principles.
- Model Evaluation:
- Understanding of model evaluation metrics and methodologies.
- Exposure to MLOps practices and platforms like “Weights and Biases” for model tracking and performance monitoring.
Qualifications:
Preferred Education: Bachelor's or Master’s degree in an appropriate
engineering discipline required.
Preferred Work Experience (years): Minimum of 8+ years of work experience or
5 years of relevant experience with a Master’s degree.
Key Skills and Competencies:
All other Regions:
Preferred Education: Bachelor’s degree
Preferred Work Experience (years): 8+ years of work experience
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