Work with other machine learning scientists and engineers to develop custom ML solutions for various industries and use cases. Develop, train, and validate machine learning algorithms. Apply techniques like classification, clustering, regression, NLP, deep learning, time series forecasting, and Bayesian methods. Help create generalized solutions from specific use cases. Identify areas for opportunity and improvement within projects. Research new ML and AI techniques and evaluate their business potential. Collaborate in a remote, Agile-like environment.