GCP AI Developer
Tasks
- Apply responsible AI practices
- Build AI/ML models
- Build ML pipelines
- Collaborate with data scientists and architects
- Deploy AI/ML models
- Design intelligent applications
- Develop generative AI solutions
- Develop microservices
- Evaluate ML models
- Implement scalability and monitoring
- Maintain REST APIs
- Perform feature engineering
- Serve machine learning models
- Stay current with GCP AI innovations
- Train ML models
- Write production code
Perks/Benefits
- Certification opportunities
- Hybrid work
- Private & life insurance
- Private medical insurance
- Sports card
- Training access
- Wellbeing support
Skills/Tech-stack
BigQuery ML | CI/CD | Cloud Run | Cloud platform | Data Governance | Docker | Document AI | Feature Engineering | Gemini API | Generative AI | Google Cloud | Google Cloud Platform | JAX | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Machine Learning Pipelines | Microservices | Model Monitoring | Model retraining | Model versioning | Prompt engineering | PyTorch | Python | REST APIs | Responsible AI | Retrieval-Augmented Generation | TensorFlow | Vertex AI
Education
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer
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