Job descriptionMachine Learning & Deep LearningSupervised, unsupervised, and reinforcement learningNeural networks (CNNs, RNNs, Transformers)Model optimization and tuningGenerative AIDiffusion models, GANs, and multimodal AIRAGProgramming LanguagesPython (must-have)SQL for data queryingFrameworks & LibrariesPyTorch, TensorFlow, KerasScikit-learn, Langgraph, LangchainHugging Face Transformers (for NLP)Data Engineering & MLOpsData pipelines (Airflow, Spark, Kafka)Model deployment (Docker, Kubernetes, FastAPI)CI / CD for ML workflowsML model monitoring and retrainingCloud PlatformsAWS, Azure, or GCP (experience with AI / ML services)Infrastructure as Code (Terraform, CloudFormation)