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Job Description
Structured overview of role & requirementsAbout This Role
Lead technical strategy and set architectural direction for large-scale machine learning initiatives.
Architect, deploy, and optimize enterprise-grade predictive models and advanced ML systems using cloud and on-premise platforms.
Mentor and develop data science team members while driving innovation and adoption of advanced ML methodologies and best practices.
Minimum Requirements
Minimum 13+ years of experience in Data Science with demonstrated enterprise impact.
Expertise with AI/ML architectures, advanced ML algorithms, and programming languages including Python, PySpark, and SQL.
Experience with advanced DevSecOps practices, MLOps pipeline management, cloud development, and multi-cloud architecture.
Academic credentials must be from recognized and accredited institutions and are subject to verification.
Ideal Candidate Profile
Senior data scientist with proven leadership capabilities and experience guiding large-scale ML projects and teams.
Strong strategic business understanding with ability to translate complex business goals into technical ML roadmaps and solutions.
Experienced in enterprise environments delivering scalable AI/ML solutions with expertise in advanced system design and data governance.