Job summary
Job post source
This job is directly from BankUnited
Job overview
The AI/ML Solutions Engineer at BankUnited designs and deploys AI and machine learning solutions to improve financial services, customer experience, and internal operations within the bank.
Responsibilities and impact
The role involves developing generative AI applications, building and maintaining ML pipelines on AWS, designing data pipelines and ETL processes, collaborating with stakeholders, performing model risk assessments, ensuring regulatory compliance, and staying updated on AI advancements.
Experience and skills
The position requires 5+ years of experience with deploying generative AI and ML models in production, strong Python programming skills, knowledge of AWS data services and ML frameworks, understanding of model risk management, and familiarity with cloud ML platforms and data pipeline tools; preferred qualifications include experience in regulated financial services and advanced AI techniques.
Company information
BankUnited is a financial institution focused on banking services, emphasizing compliance with federal and state regulations and leveraging AI technologies to enhance operations.
Team overview
The candidate will join the data analytics team working collaboratively with cross-functional teams including data scientists, product managers, and business units.
Unique job features
This role uniquely combines AI/ML technical expertise with strong data engineering skills in a regulated banking environment, focusing on innovative generative AI applications and comprehensive model governance frameworks.
Company overview
BankUnited is a financial institution specializing in commercial and consumer banking services, primarily operating in Florida and the New York metropolitan area. They generate revenue through a variety of financial products, including loans, mortgages, and deposit accounts, as well as through investment services and fee-based income. Founded in 2009 after acquiring the assets of the failed BankUnited FSB, the company has grown significantly, focusing on personalized customer service and robust financial solutions. Notably, BankUnited is known for its strong capital position and strategic acquisitions, which have bolstered its market presence.
How to land this job
Tailor your resume to highlight your expertise in designing and deploying AI/ML solutions specifically within financial services, emphasizing your experience with generative AI applications, AWS SageMaker, and data pipeline development on AWS.
Showcase your skills in model risk management, compliance with banking regulations, and your ability to collaborate with cross-functional teams to implement AI innovations that improve customer experience and operational efficiency.
Apply through multiple channels including BankUnited's official career site, LinkedIn, and reputable job boards to maximize your application visibility and chances of being noticed.
Connect with AI/ML and data analytics professionals at BankUnited on LinkedIn, initiating conversations by referencing recent AI projects at BankUnited or asking about their approach to AI model risk mitigation and compliance.
Optimize your resume for ATS by incorporating keywords such as 'generative AI,' 'AWS SageMaker,' 'model risk management,' 'data pipeline,' 'financial services AI,' and 'compliance with banking regulations' to ensure your resume passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications across multiple platforms, identify relevant LinkedIn contacts, and optimize your resume for ATS, allowing you to focus more on networking and interview preparation.
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