Requirements:
• Strong proficiency in Python.
• Hands-on experience with Machine Learning / Deep Learning.
• Experience with frameworks like TensorFlow, PyTorch, and scikit-learn.
• Knowledge of NLP, Computer Vision, or Recommendation Systems.
• Experience in building REST APIs (Flask/FastAPI/Django).
• Good understanding of data structures, algorithms, and system design.
• Experience with SQL/NoSQL databases.
Good to Have:
• Experience with MLOps tools (MLflow, Kubeflow, Airflow).
• Knowledge of cloud platforms (AWS, GCP, Azure).
• Experience with Docker and Kubernetes.
• Exposure to LLMs / Generative AI.