Python AI Developer (hybrid)
Tasks
- Build ETL data pipelines
- Deploy and monitor AI models
- Design AI solutions
- Develop AI solutions
- Integrate AI models into applications
- Maintain AI solutions
- Optimize model training data
- Perform code reviews
- Run testing and debugging
- Update AI technology knowledge
- Write clean, modular, documented code
Perks/Benefits
Skills/Tech-stack
AI Agents | Data cleaning | Deep learning | Docker | ETL | Feature Engineering | Git | Kubernetes | LLM | Machine Learning | PyTorch | Python | REST API | Scikit-learn | TensorFlow
Education
N/A
Roles
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