AI Engineer
Tasks
- Build ML pipelines
- Communicate technical concepts to stakeholders
- Deploy machine learning models
- Design AI solutions
- Develop machine learning models
- Ensure responsible AI compliance
- Implement MLOps practices
- Integrate AI models into production systems
- Monitor model performance
- Optimize model cost efficiency
- Optimize model scalability
- Research emerging AI technologies
Perks/Benefits
- Enhanced leave options
- Health and wellbeing supports
- Pension and savings options
- Training and coaching
- Work-life balance support
Skills/Tech-stack
AWS | Azure | CI/CD | Computer Vision | Deep learning | Fine Tuning | GCP | Generative AI | Hadoop | Language Model | Large Language Model | MLOps | Model Monitoring | Model versioning | NLP | Prompt engineering | PyTorch | Python | 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 | Learning Engineer | Machine Learning Engineer
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