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Senior AI Engineer in Data Solutions
Job Description & How to Apply Below
In this pivotal role, you will partner with business users, product owners, and subject matter experts to streamline complex workflows and validate solutions. Leverage your expertise in Python, SQL, and data engineering to translate business needs into production-ready applications. Drive the development of AI solutions and ensure their smooth transition from prototype through to deployment and adoption.
Key Responsibilities:
• Map workflows with stakeholders for efficient implementations
• Profile data quality using Python, pandas, and SQL
• Build and harden working solutions using real APIs
• Design and deploy AI applications on cloud platforms
• Implement MLOps capabilities for lifecycle management
Requirements:
• 10+ years in AI application development and engineering
• Strong proficiency in Python, PySpark, and SQL
• Experience with Claude and prompt engineering
• Knowledge of enterprise cloud services
• Financial services background with client interaction skills
Harness your strengths in AI engineering and production to deliver exceptional results.
Position Requirements
10+ Years
work experience
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