Teams at Flexjet

Design, develop, and deploy machine learning and deep learning models; build and maintain production ML pipelines; preprocess and validate large datasets; implement APIs and integrate models into systems; monitor, optimize, and retrain models; collaborate with cross-functional teams to translate business needs into AI solutions.

Entry-level ML engineer to assist in developing, training, deploying, and monitoring machine learning models. Responsibilities include data cleaning, building pipelines, supporting production deployments, troubleshooting model performance, collaborating with team members, and documenting code and processes.

Build and maintain scalable data pipelines and datasets for ML/AI workflows; collect, clean, and preprocess structured and unstructured data; ensure data quality, availability, governance, and security; collaborate with data scientists and ML engineers; optimize storage and troubleshoot pipelines.