Machine Learning Engineer

Overview As an Entry-Level Machine Learning Engineer at Flexjet, you will collaborate with experienced engineers and data scientists to build, deploy, and maintain ML models. You will work on real-world ML systems that support business decisions in aviation services. The role focuses on developing models, data pipelines, and production readiness under guidance, offering hands-on learning in a dynamic setting. You will join a team that values problem-solving, data-driven decisions, and collaboration to improve operations. This is a growth-focused opportunity to shape ML solutions for scalable outcomes in a fast-moving environment. Responsibilities Assist in developing and training machine learning models Support the creation and maintenance of data pipelines Help deploy ML models into production under guidance Clean, preprocess, and analyze datasets for model training Collaborate with team members to solve business problems using data Monitor model performance and help troubleshoot issues Document code, processes, and model behavior Key requirements Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)Basic proficiency in Python Familiarity with machine learning concepts (regression, classification, clustering)Experience with libraries such as scikit-learn, Tensor Flow, or PyTorch (academic or project-based)Understanding of data structures and algorithms fundamentals Basic knowledge of SQL and data handling Strong willingness to learn and grow Problem-solving mindset Good communication and teamwork skills Pythonscikit-learn Tensor Flow