Want to hire CoreML developer? Then you should know!
How and where is CoreML used?
- Image Recognition: Identify objects in images
- Natural Language Processing: Analyze text
- Emotion Recognition: Detect emotions in facial expressions
- Handwriting Recognition: Convert handwritten text to digital
- Object Detection: Identify and locate objects in images
- Sentiment Analysis: Analyze sentiment in text
- Activity Recognition: Detect user activities from sensor data
- Sound Classification: Classify sounds in audio files
- Health Monitoring: Track health metrics using sensor data
- Augmented Reality: Enhance real-world environments with digital information
Compare Junior, Middle, Senior, and Expert/Team Lead CoreML Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| $60,000 |
Middle | 2-5 years |
| $80,000 |
Senior | 5-8 years |
| $100,000 |
Expert/Team Lead | 8+ years |
| $120,000 |
Quick Facts about CoreML.
- Created in 2017 by Apple, CoreML revolutionized mobile AI
- Popular projects include image recognition and natural language processing
- Entry threshold is low with Apple’s user-friendly documentation
- TensorFlow is one of the most popular related technologies
- Fun Fact: CoreML can run machine learning models directly on Apple devices!
TOP CoreML Related Technologies
- TensorFlow
- Keras
- PyTorch
- Scikit-learn
- CoreML Tools
What are top CoreML instruments and tools?
- Create ML: Apple’s tool for creating ML models easily
- Turi Create: Apple’s predecessor to Create ML
- Core ML Tools: Tools for converting models to Core ML format
- TensorFlow Lite: Google’s tool for running TensorFlow models on mobile devices
- ONNX: Open Neural Network Exchange format for interoperability
Talk to Our Talent Expert
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Maria Lapko
Global Partnership Manager