Software Engineer, Advanced

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.

• 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.

Preferred Education: Bachelors 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