Machine Learning Architect

Required Skills & Experience - 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 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 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