Machine Learning Engineer

Flexjet

  • Cleveland, OH
  • 1 day ago
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    Skills

    • Algorithmsunmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Application Programming Interface (API)unmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Data Managementunmatched
    • Data Scienceunmatched
    • Data Structuresunmatched
    • Data Visualization Toolsunmatched
    • Detail Orientedunmatched
    • Equipment Maintenance/Repairunmatched
    • Gitunmatched
    • Identify Issuesunmatched
    • Machine Learningunmatched
    • Microsoft Windows Azureunmatched
    • Performance Analysisunmatched
    • Performance Modelingunmatched
    • Problem Solving Skillsunmatched
    • Process Modelingunmatched
    • Python Programming/Scripting Languageunmatched
    • SQL (Structured Query Language)unmatched
    • Source Code/Configuration Management (SCM)unmatched
    • Team Playerunmatched
    • Training Data Setsunmatched
    • Web Servicesunmatched

    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

    Numbers & Facts

    LocationCleveland, OH

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