Want to hire GCP AI developer? Then you should know!
How and where is GCP AI used?
- Image Recognition: Analyzing images to detect objects
- Natural Language Processing: Understanding and generating human language
- Recommendation Systems: Suggesting products based on user behavior
- Speech Recognition: Converting spoken language into text
- Fraud Detection: Identifying fraudulent activities in real-time
- Healthcare Diagnostics: Assisting in medical image analysis
- Chatbots: Providing automated customer support
- Sentiment Analysis: Determining the sentiment behind text
- Video Analysis: Extracting insights from video content
- Virtual Assistants: Interacting with users through voice and text
Compare Junior, Middle, Senior, and Expert/Team Lead GCP AI Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 1-2 years |
| 70,000 |
Middle | 2-4 years |
| 90,000 |
Senior | 5-8 years |
| 120,000 |
Expert/Team Lead | 8+ years |
| 150,000 |
Quick Facts about GCP AI.
- In the year 2018, GCP AI Software Development was born into the tech realm.
- From image recognition to speech-to-text, a variety of projects thrive on this technology.
- The entry threshold for diving into GCP AI Software Development is surprisingly low.
- When it comes to related tech, TensorFlow stands out as a crowd favorite.
- Did you know? GCP AI Software Development can analyze emotions in text. How cool is that?
TOP GCP AI Related Technologies
- TensorFlow
- PyTorch
- Keras
- Scikit-learn
What are top GCP AI instruments and tools?
- Cloud AutoML: Custom Machine Learning Models by Google, 2018
- Dialogflow: Conversational AI Platform by Google, 2016
- Video AI: Video Recognition by Google Cloud, 2019
- Recommendations AI: Personalized Recommendations by Google, 2019
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Maria Lapko
Global Partnership Manager