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We are proud to present you with the following opportunity.
About Our Client:Built for consumers and companies, alike. In a world driven by data, we believe consumers and businesses can coexist. We have a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising.
Your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You'll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday.
Role Overview:We are leveraging machine learning (ML) and data science-based products to take our business to the next level. To meet the growing needs of our business, we are searching for an experienced Machine Learning Engineer to enhance the development of a machine learning platform that enables data scientists and engineers across the company to easily build and deploy machine learning solutions at scale through a unified platform approach. This person will lead and experience first-hand how we transform machine learning models and algorithms into AI products for our consumers, customers and partners.
Responsibilities:
Contribute to the development of our machine learning platform, driving for outstanding execution Lead by example and define best practices for robust and efficient machine learning service development that includes data pipeline development and automation, model versioning, deployment, monitoring, feature store and continuous model training, etc. Design and manage CI/CD pipeline for our machine learning product deployment Collaborate with a cross functional team of data scientists, engineers, product managers, business stakeholders to cost-effectively deliver AI services with quality, efficiency, and security Contribute to the machine learning engineering roadmap and priorities Strong expertise in developing and deploying offline and online machine learning services in production Solid understanding of machine learning software and infrastructure development Proficiency in Python Experience with cloud computing services or platform (GCP preferred) Strong SQL skills Familiarity with version control and peer code review systems Demonstrated ability to learn and embrace new technologies, applications, and approaches Willingness to roll up your sleeves and sometimes wear multiple hats across the data science team, depending on the needs of the business Strong written and verbal communication skills and the ability to explain technical topics to both technical and non-technical audiences Compensation in USD Fully remote work Challenging project - one of the first of that kind in the region Growth and Learning Opportunity