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.
