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Apple Computer Vision ML Engineer 
India, Karnataka, Bengaluru 
607071487

01.06.2024
Description
- Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms - Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection.
Key Qualifications
  • A deep understanding of computer vision, machine learning and deep learning concepts.
  • Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking
  • Masters in Computer Science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields.
  • Knowledge of machine learning and computer vision libraries such as PyTorch, TensorFlow, Keras, scikit-learn, OpenCV, PIL, AutoML, is essential.
  • Proven ability to implement, improve, debug, and maintain machine learning models
  • iOS CoreImage/CoreML and native App development experience is a big plus
  • AWS ML framework experience is preferred.
  • Familiar with version control systems such as Git
  • Strong optimization and debugging skills
  • Self-motivated, responsible, excellent written and verbal interpersonal skills
  • Experience with handling and visualizing very large data sets and creating performance reports
Education & Experience
Bachelors or Masters in Computer Science, Machine Learning, or higher level degree PhD preferred
Additional Requirements
  • Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.