Architect

Job Description

Insight Global is seeking a Machine Learning Solutions Architect for one of their top banking customers. They will be responsible for leading strategy and implementation for ML-driven data quality initiatives within the data organization. This role combines technical leadership with strategic planning, ensuring successful deployment of ML models across on-prem and cloud platforms.

Responsibilities:

• Define and drive ML strategy for data quality across enterprise platforms.

• Architect scalable solutions for ML model deployment in production environments.

• Collaborate with stakeholders to align ML initiatives with business priorities.

• Oversee design and development of proof-of-concepts (POCs) and production-ready models.

• Guide the team on best practices for ML frameworks and accelerated deployment.

• Participate in hands- on deployments of the ML frameworks

Pay ranges from $60-71/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:

Skills and Requirements

• Proven experience deploying ML models into production

• Expertise in ML automation frameworks and AI-driven deployment strategies.

• 5+ years of experience scripting in python

• Strong background in solution architecture and enterprise data platforms.

• 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