AI engineer-5
Tasks
- Align data characteristics model behavior production
- Build AI model architectures from business use cases
- Collaborate on MLOps deployment readiness
- Design for data privacy access control bias mitigation
- Design train AI ML models
- Document model assumptions architecture and evaluation
- Embed models into downstream workflows
- Engineer preprocessing and feature engineering
- Ensure compliance governance and interpretability
- Iterate on model design and results interpretation
- Mentor junior AI engineers
- Monitor performance and adapt solutions
- Optimize model accuracy speed resource efficiency
- Scope deliver AI features and enhancements
- Share findings and contribute to team learning
- Standardize model development guidelines
- Stay current with emerging AI ML methods
Perks/Benefits
- Family-friendly culture
- Internal career opportunities
- Job security
- Medical insurance
- Professional development
- Retirement benefits
- Work-life balance
Skills/Tech-stack
AI ethics | API | Bias Mitigation | Computer Vision | Data Governance | Data Privacy | Deep learning | Docker | Embeddings | Feature Engineering | Forecasting | Google Cloud | Huggingface | Image Recognition | Kubeflow | Language Processing | MLOps | Machine Learning | Model Explainability | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Scikit-learn | TensorFlow | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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