Machine Learning Engineer

Flexjet; Cleveland (OH); On-site; USD 65,000 - 90,000; Full time

Job summary

Flexjet is seeking an entry-level Machine Learning Engineer to join our team in Cleveland. You will work with experienced engineers and data scientists to build, deploy, and maintain ML models, gaining hands-on experience with real-world systems.

The role emphasizes learning, collaboration, and practical problem solving, with responsibilities spanning data preprocessing, model training, and monitoring. Ideal candidates have a CS/Data Science background, Python basics, and familiarity with ML

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field
• 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)
• Understanding of data structures and algorithms fundamentals
• Basic knowledge of SQL and data handling

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

Skills

Python

ML concepts

Data structures & algorithms

SQL

Education

Bachelor's degree (CS/Data Science/Engineering)

Tools

scikit-learn

TensorFlow

PyTorch

Job description

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)
• 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