Machine Learning Engineer

Flexjet LLC; Cleveland (OH); On-site; USD 60,000 - 85,000; Full time

Job summary

Flexjet is seeking an entry-level Machine Learning Engineer to join our team. You will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models.

This role offers hands-on experience with real-world ML systems and is ideal for someone early in their career eager to develop practical skills while collaborating across teams to solve business problems using data.

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.

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 (basic)

ML concepts

scikit-learn

TensorFlow

PyTorch

Data structures & algorithms

SQL basics

Git basics

Education

Bachelor's degree in Computer Science/Data Science/Engineering or related field

Tools

scikit-learn

TensorFlow

PyTorch

Git

Job description

Current job opportunities are posted here as they become available.

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)