Entry-Level ML Engineer: Build & Deploy Real-World Models

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

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