Job Description

1. Design, build, and maintain AI/ML models using frameworks such as TensorFlow, PyTorch, scikit-learn , or Keras .
2. Develop scalable Python-based backend systems and APIs (using Flask , FastAPI , or Django REST Framework ).
3. Implement data preprocessing, feature engineering, and model optimization pipelines.
4. Work on NLP (Natural Language Processing) , Computer Vision , or Predictive Analytics projects as per business needs.
5. Integrate AI/ML models into production-grade applications and support MLOps processes.
6. Collaborate with data engineers and data scientists to manage datasets and model training.
7. Ensure model performance monitoring , retraining, and version control.
8. Optimize code for efficiency, scalability, and performance in real-world environments.
9. Research and apply latest AI/ML techniques to solve practical business challenges.
10. Mentor junior developers and review their code for best practices.

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