机器&学习&AI Machine Learning & AI Eng.
Tasks
- Align with headquarters AI teams
- Build model deployment workflows
- Clean validate test data
- Collaborate with solution architects
- Define AI models
- Define machine learning models
- Define statistical models
- Design deployment tooling
- Develop data pipelines
- Evaluate analytical models
- Evaluate genAI model capabilities
- Integrate models into applications
- Maintain deployed model components
- Monitor deployed models
- Operationalize analytics models
- Prepare data for analysis
- Support continuous model improvement
- Track AI technology trends
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Artificial Intelligence | Cloud services | Continuous Monitoring | Data Quality | Data Validation | Data cleaning | Deep learning | Machine Learning | Model Deployment | Model Evaluation | NLP | Prompt engineering | PyTorch | RAG | Retrieval-Augmented Generation | Statistical modeling | System Integration | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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