VP of Machine Learning - AI Solutions

October 9

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Online Payments • Mobile Payments • FinTech • eCommerce • Retail

201 - 500

Description

•Remote Position for candidates based in Canada. •Seeking a visionary leader for the VP of AI/ML role. •Responsible for overseeing the design, development, and deployment of machine learning models. •Drive the creation of scalable machine learning solutions for personalized recommendations, fraud detection, and credit risk assessment. •Lead a team of engineers and data scientists. •Greatly focus on blending machine learning development and operations (MLOps). •Automate and optimize the full lifecycle of our ML models. •Design and develop scalable machine learning infrastructure on AWS. •Collaborate with product teams for developing MVPs for AI-driven features. •Create and enhance monitoring and alerting systems for machine learning models. •Enable various departments to leverage AI/ML models.

Requirements

•Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience. •At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment. •Deep expertise in machine learning, recommendation systems, pattern recognition, data mining, or related technical fields. •Proven track record of developing machine learning models from inception to business impact. •Proficiency with Python is required, experience with Golang is a plus. •Demonstrated technical leadership in guiding teams and owning end-to-end projects. •Experience working with relational databases and using SQL to explore them. •Strong familiarity with AWS cloud services. •Knowledgeable in Kubernetes, Docker, and CI/CD pipelines. •Comfortable with monitoring and observability tools for machine learning models. •Solid foundation in data processing and pipeline frameworks for handling real-time data streams.

Benefits

•Flexible payment options and innovative shopping experiences. •Personalized experiences across a diverse range of retailers. •Commitment to fostering financial inclusion and delivering cutting-edge technology.