AI Engineer
Tasks
- Build and deploy machine learning models
- Communicate AI concepts to stakeholders
- Deploy AI models to production systems
- Design AI solutions
- Develop data pipelines and ML workflows
- Ensure responsible AI practices
- Implement MLOps monitoring and retraining
- Integrate AI into applications
- Monitor evaluate and improve model performance
- Optimize models for scalability and efficiency
- Research and apply emerging AI tools
Perks/Benefits
- Enhanced leave options
- Health and wellbeing supports
- Pension and savings options
- Training and coaching
Skills/Tech-stack
AWS | Azure | CI/CD | Computer Vision | Data Analysis | Data Mining | Deep learning | Ethical AI | Exploratory Data Analysis | Fine Tuning | GCP | Hadoop | Language Models | Large Language Models | MLOps | Model Monitoring | Model versioning | NLP | Prompt engineering | PyTorch | Python | R | Reinforcement Learning | Retraining | SQL | Scikit-learn | Spark | TensorFlow | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer
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