Join a global leader in private aviation, offering access to an ultramodern fleet of private aircraft through fractional ownership, leasing and jet cards. Together, our employees in North America and Europe work to provide Flexjet aircraft Owners with the finest experience in premium private jet travel.
POSITION SUMMARY
Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their career who is eager to develop hands-on experience with real-world ML systems.
DUTIES & 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
REQUIRED SKILLS & QUALIFICATIONS
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, TensorFlow, or PyTorch (academic or project-based)
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Understanding of data structures and algorithms fundamentals
Basic knowledge of SQL and data handling
PREFERRED QUALIFICATIONS
Internship, academic project, or personal project experience in machine learning
Familiarity with Git and version control
Exposure to cloud platforms (AWS, Azure, or Google Cloud)
Basic understanding of APIs or web services
Experience with data visualization tools (e.g., Matplotlib, Seaborn)
Strong willingness to learn and grow
Problem-solving mindset
Good communication and teamwork skills
Attention to detail
Flexjet is an equal-opportunity employer. We aim to choose individuals who have the highest integrity; those who personify genuine concern for customers and fellow employees alike. More than anything, we look for individuals who grasp the importance of trust in an employer/employee relationship.
