Insight Global
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 HR@insightglobal.com.To 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/.
Required Skills & Experience - 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
Nice to Have Skills & Experience - Experience with Python-based UI tools (Streamlit) for quick visualization. - Experience with other Python frameworks (Jango, Flask) - Familiarity with IDQ for date quality
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
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 HR@insightglobal.com.To 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/.
Required Skills & Experience - 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
Nice to Have Skills & Experience - Experience with Python-based UI tools (Streamlit) for quick visualization. - Experience with other Python frameworks (Jango, Flask) - Familiarity with IDQ for date quality
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.