• ML Engineer - Data Quality

    Insight Global (Quincy, MA)


    Job Description

    Insight Global is looking for a Machine Learning Engineer to design, develop, and deploy ML models that enhance data quality processes. This is a hands-on role focused on rapid deployment and integration into production environments.

    Responsibilities:

    - Build and deploy ML models into production for data quality improvement.

     

    - Work across on-prem and cloud platforms to implement solutions.

     

    - Accelerate deployment using ML frameworks and AI-driven approaches.

     

    - Develop lightweight UI components using Python (Streamlit) for quick interaction.

     

    - Collaborate with the data quality team to operationalize ML solutions.

     

    Pay ranges from $50-58/hr based on qualifications and years of experience.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    - Hands-on experience deploying ML models into production.

     

    - Strong knowledge of ML frameworks and practical implementation.

     

    - 3+ years of experience scripting in python

     

    - Experience working on data quality projects both on-prem and cloud

     

    - Familiarity with financial services or insurance industry - Experience with Python-based UI tools (Streamlit) for quick visualization.

     

    - Experience with other Python frameworks (Jango, Flask)

     

    - Familiarity with IDQ for date quality