Machine Learning Engineer

JD: Strong AI Foundry, Agentic AI knowledge and experience Experience with ML libraries (scikit-learn, TensorFlow, PyTorch, ML.NET, Azure ML, etc.). Understanding of machine learning lifecycle: data prep training evaluation deployment. Knowledge of statistical methods, model validation, and experiment design. Familiarity with cloud data services (Azure Data Factory, Synapse, Databricks, AWS Glue, GCP BigQuery). Ability to design clean, maintainable data structures and pipelines. Strong problem-solving, analytical thinking, and communication skills.