Artificial Intelligence/Machine Learning (AI/ML) Engineer
Tasks
- Build MLops pipelines
- Deploy machine learning models
- Deploy models to production
- Develop machine learning models
- Document model deployment
- Document model development
- Document model monitoring
- Document model testing
- Enhance model security
- Ensure model governance
- Evaluate machine learning models
- Implement NLP solutions
- Implement RAG
- Implement generative AI solutions
- Implement large language models
- Implement predictive analytics
- Improve model explainability
- Improve model reliability
- Integrate AI solutions into APIs
- Integrate AI solutions into applications
- Integrate AI solutions into reporting platforms
- Integrate AI solutions into workflows
- Monitor machine learning models
- Monitor model performance
- Optimize model performance
- Optimize scalability
- Train machine learning models
- Version machine learning models
Perks/Benefits
Skills/Tech-stack
AI Services | Cloud AI | Cloud AI services | Generative AI | Language Models | Large Language Models | MLOps | Model Deployment | Model Evaluation | NLP | Predictive Modeling | Production Monitoring | PyTorch | Python | RAG | Scikit-learn | TensorFlow
Education
N/A
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