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

Requirements

Must-haves

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
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlpythonsqlawsazure

Platform: clearcompany
Effort: medium