Itemize · 2 days ago
AI Solutions Director
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Responsibilities
Machine-Learning Development: Direct the end-to-end development lifecycle of AI models and the Data Science platform. Provide hands-on model development expertise. Champion a customer-centric approach to solution development, ensuring that Itemize AI solutions meet customer needs and deliver measurable value and ROI. Ensure seamless deployment of updates and improvements while adhering to production schedules
Team Leadership: Lead and mentor a high-performing Information Science team, fostering a culture of innovation, collaboration, accountability, and continuous improvement. Align strategies with overall company goals to enhance product capabilities
Operational Excellence: Drive a production shop mentality within the team, emphasizing rigorous testing, monitoring, and continuous improvement. Implement best practices in data management, model development, and deployment processes to ensure robustness and reliability
Cross-functional Collaboration: Collaborate closely with Application Development, Product Management, Sales, and Marketing teams to integrate data-driven insights into product features, marketing strategies, and sales initiatives
Performance Measurement: Implement robust metrics and analytics frameworks to measure product performance and optimize for scalability, reliability, and performance
Innovation and Research: Drive innovation through continuous research and development efforts, staying ahead of industry trends and technological advancements
Qualification
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Required
Bachelor's degree in Computer Science, Data Science, or a related field; advanced degree (e.g., MS, PhD) preferred
Minimum of 8 years of experience in Data Science, Machine Learning, and AI, with at least 5 years in a leadership role within a SaaS or technology-driven company
Expertise in Artificial Intelligence, Machine Learning, Big Data technologies, and cloud platforms (e.g., AWS)
Experience and demonstrable knowledge of Deep Learning concepts and in applying suitable modeling approaches. Understand how components and processes work together and communicate with each other using library calls, REST APIs queueing/messaging systems, and database queries
Experience with PyTorch, NLTK, SciPy, Scikit-Learn, Numpy, OpenCV or equivalent for image preprocessing
Proven ability to lead and inspire cross-functional teams, drive consensus, and deliver results under tight deadlines
Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Preferred
Experience in scaling AI-driven products from concept to production in a fast-paced environment
Demonstrated success in leveraging data analytics to drive business decisions and improve product performance
Understanding of financial industry technology processes, priorities, and challenges, and customer needs in B2B SaaS markets
Entrepreneurial mindset with a track record of innovation and driving transformative change
Benefits
Flexible PTO
Generous benefits package
Employee stock options