AI / ML Operations Assistant

Programming Proficiency : Strong experience with Python, plus one or more languages such as Java, JavaScript etc.

AI / ML Expertise : Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) Understanding of deep learning architectures (CNNs, RNNs, Transformers, etc.) Familiarity with LLMs, prompt engineering, and fine-tuning techniques. Strong knowledge of data preprocessing, feature engineering, and model evaluation.

Cloud & Infrastructure : Experience deploying AI / ML models on cloud platforms (Azure). Familiarity with containerization (Docker, Kubernetes) and CI / CD pipelines. Strong understanding of version control (Git), code reviews, and testing. Experience building scalable APIs and microservices for AI applications.