Mid Level AI/ML Engineer

About the Job
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Job Summary:
Sunwest Bank is looking for an AI/ML Engineer to build intelligent applications and workflows that turn data into automation and insights. This role focuses on using financial, customer, and CRM data to streamline repetitive tasks in sales and operations through projects such as document processing and predictive analytics.
Responsibilities:
• Develop AI-powered applications and workflows that automate tasks and generate insights from Sunwest Bank’s data
• Use financial, customer, and CRM data (e.g., Salesforce) stored in OneLake to build automation solutions for sales and operations
• Lead projects such as intelligent document processing, predictive analytics, and AI assistants for internal process improvement
• Collaborate with data engineers and business teams to identify use cases and translate them into AI solutions
• Design, train, and implement machine learning models or AI services to meet business needs
• Support deployment of AI models into production workflows, ensuring scalability and reliability
• Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management
• Demonstrates high level of quality work, attendance and appearance
• Adheres to all Company Policies & Procedures and Safety Regulations
• Adheres to local, state and federal laws
• Understands and complies with all company rules and regulations
• Attends training and maintains a basic knowledge of procedures to ensure compliance with laws and regulations governing financial institutions, as they apply to your position and job responsibilities, with an emphasis on the BSA/AML/CIP, Consumer Privacy, Regulation CC, Information Security, Bank Protection Act, FACT-Identity Theft, Information Technology and GLBA.
• Additional duties as assigned as it relates to the position
Qualifications:
Required:
• Strong Python skills (or similar), with experience in ML libraries like scikit-learn, TensorFlow, or PyTorch
• Able to work with structured data (SQL, data frames) and unstructured data (text, images), including preprocessing
• Solid understanding of ML techniques—regression, classification, clustering, NLP—and their practical applications
• Experience building and evaluating models on tabular and text data
• Familiar with platforms like OneLake or Azure; skilled in querying and linking models to large datasets
• Proven ability to translate business needs into AI solutions, selecting appropriate approaches like chatbots, classifiers, or recommendation systems
Preferred:
• Experience in financial services or familiarity with sales/CRM workflows
• Skilled in Microsoft Azure AI services (e.g., Azure ML, Cognitive Services for vision/NLP)
• For senior candidates, strong background in statistical modeling, experiment design, and interpreting results
• Experience with MLOps practices and deploying AI models into production workflows or applications
• MS or PhD in Computer Science, Data Science, or related field preferred; relevant coursework or certifications beneficial for junior candidates
Company:
Built For Entrepreneurs By Entrepreneurs. Banking as a Service, Business Banking, Commercial and Specialty Lending, SelfcareHSA Founded in 1969, headquartered in Sandy, Utah, USA, team size 201-500 employees, currently Growth Stage.
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