Machine Learning/AI Engineer
Tasks
- Build data pipelines for feature extraction
- Clean and organize data
- Collect data from internal and external sources
- Deploy models to production
- Design and implement machine learning models
- Document models experiments and workflows
- Evaluate model performance
- Monitor and maintain model performance
- Optimize and fine-tune models
- Retrain and version models
- Train machine learning models
- Translate business requirements into AI solutions
Perks/Benefits
Skills/Tech-stack
Computer Vision | Data Preprocessing | Deep learning | Docker | FastAPI | Feature Engineering | Flask | Git | Langchain | Langgraph | Machine Learning | Model Deployment | Model Monitoring | NLP | Prompt engineering | PyTorch | Python | Scikit-learn | TensorFlow | XGBoost
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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