About the position
The position involves designing, developing, and implementing end-to-end Machine Learning (ML) solutions on both Cloud and traditional infrastructure. The role focuses on providing expertise in AI/ML transformation initiatives and ongoing Cloud migrations, while also generating visualization dashboards and building CI/CD pipelines for production deployment. The candidate will drive development efforts to enhance automated solution discovery and detection.
Responsibilities
• Provides ML solutions for data-driven and actionable insights to enable objective informed decisions.
• Maintains technical infrastructure to remain compliant with updates.
• Collaborates with vendors to evaluate machine learning models.
• Tests technical solutions in the production environment to ensure optimal function.
• Develops new solutions in cloud-native scalable architecture.
• Communicates revenue or cost saving benefits to senior leadership.
Requirements
• Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five years of experience as a Principal Data Modeler or closely related occupation building data science applications from inception to production at scale using Python, advanced analytics, statistics, and ML and Deep Learning techniques.
• Or, alternatively, a Master's degree in a related field and three years of experience as a Principal Data Modeler or closely related occupation.
• Demonstrated expertise in coordinating with business, product, and engineering teams to analyze business requirements and convert them to ML/AI solutions.
• Experience driving analytics and ML initiatives within a financial services environment.
• Experience designing and developing scalable and secure in-house solutions using Cloud technologies (EC2, AWS Sagemaker, Amazon Elastic Kubernetes Service, S3, and Jenkins pipelines).
• Proficiency in data collation using SQL and data manipulation, exploration, analysis, visualization, and reporting using Python.
Nice-to-haves
• Experience with Tableau and PowerPoint for presenting findings.
• Knowledge of advanced analytics and ML based projects in a financial services context.
Benefits
• Flexible benefits that support employees through every stage of their career.
• Recognition as a top 10 Best Place to Work in 2024 by Glassdoor.
• Hybrid working model that combines onsite and offsite work experiences.
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