AI Engineer
Tasks
- Build data pipelines
- Build experiment tracking workflows
- Build intent classification models
- Build machine learning models
- Conduct compliance checks
- Deploy AI models
- Design natural language processing models
- Develop named entity recognition models
- Develop question-answering systems
- Develop recommendation systems
- Document and share AI knowledge
- Enforce responsible AI guidelines
- Experiment with new AI frameworks
- Fine-tune machine learning models
- Implement Entity Resolution
- Implement data validation
- Implement dialogue management systems
- Implement model documentation
- Integrate AI into backend and frontend systems
- Integrate AI models with enterprise systems
- Monitor model health in production
- Optimize generative AI models
- Perform ETL
- Perform periodic model reviews
- Preprocess large datasets
- Set up model retraining pipelines
- Stay current with AI research
- Train and test AI models
- Validate model accuracy through testing
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | AWS | Azure | Computer Vision | Data Governance | Data Validation | Dialogue Management | ETL | Entity Resolution | Entity recognition | Experiment tracking | Generative AI | Google Cloud | Intent Classification | Knowledge Retrieval | Language Processing | Model Documentation | NLP | Named Entity Recognition | Natural Language | Natural Language Processing | OCR | PyTorch | Python | Question Answering | Recommendation Systems | SQL | Scikit-learn | TensorFlow | Weights and Biases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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