Artificial Intelligence Analyst

Safra National Bank of New York ("Safra National") is a nationally chartered U.S. Bank supervised by the Office of the Comptroller of the Currency and member of the Federal Reserve and the Federal Deposit Insurance Corporation (“FDIC”). Headquartered in New York, with a branch in Florida and representative offices in Brazil, Chile, Mexico and Panama, Safra National is a leading private bank with a devoted team of relationship managers serving many sophisticated U.S. and international high net worth clients, with focus on Latin America. Objectives of this role Understand business and client challenges, and identify opportunities where AI capabilities can drive effective solutions Analyze, interpret, and clearly communicate AI and machine learning (ML) solutions while upholding high ethical standards Main Responsibilities Participate in functional and process design activities, including scenario planning, flow mapping, prototyping, testing, training, and defining support procedures Document AI solution architecture, methodologies, and lessons learned during research, exploration, and incubation phases Act as a liaison between stakeholders and technical teams, providing feedback and ensuring alignment with project goals and user expectations Design, develop, and implement machine learning algorithms to enhance AI functionality and business value Collaborate closely with data analysts and engineers to optimize AI models and improve overall performance Create and maintain comprehensive documentation for AI model development, testing, deployment, and monitoring Test, validate, and continuously improve AI models to ensure reliability and accuracy in real-world applications Stay up to date with industry trends, frameworks, and best practices to strengthen the organization’s AI capabilities Design, build, and test scalable AI solutions capable of processing large volumes of data and delivering actionable insights Evaluate and refine models based on statistical analysis, data trends, and algorithmic performance metrics Demonstrate hands-on experience with Retrieval-Augmented Generation (RAG) implementations and open models such as LLaMA, Mistral, and CodeGemma Required skills and qualifications Minimum two years of experience applying AI and ML in real-world, production-level technology solutions Proficiency in machine learning, deep learning, and natural language processing (NLP) Experience with container technologies and orchestration tools (Docker, Kubernetes) Experience with WebUI development and integration Proficient in working with Postgres and Redis databases Experience in program leadership, project governance, and change management Solid understanding of algorithms, object-oriented and functional programming principles, and design best practices Experience in REST API development, NoSQL database architecture, and RDBMS optimization Preferred skills and qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field Experience working with innovation accelerators or incubator environments Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) Knowledge of model versioning, MLOps pipelines, and deployment best practices Demonstrated ability to work in cross-functional teams in an agile development environment Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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