- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- 3+ years of experience in AI/ML development and deployment.
- Proficient in Python and familiar with libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
- Strong understanding of machine learning algorithms (supervised, unsupervised, deep learning).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Airflow, Docker, Kubernetes).
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with RESTful APIs and integrating AI models into production environments.
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