Artificial Intelligence and Machine Learning Manager

Posted 2 Days Ago
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Chicago, IL, USA
In-Office
140K-175K Annually
Senior level
Insurance
The Role
Leads AI and machine learning teams developing, deploying, evaluating, and monitoring search models and algorithms. Oversees the full machine learning lifecycle, application operations, release management, roadmaps, resiliency, technical debt reduction, and supplier solutions. Mentors staff on engineering best practices, testing, debugging, documentation, and design patterns while partnering with AI platform and product teams to accelerate AI feature development and measure delivery improvements.
Summary Generated by Built In

RT Specialty, a division of Ryan Specialty, is a leading wholesale distributor of specialty insurance products and services. Our experienced brokers are specialized in property, casualty, professional lines, transportation and workers’ compensation, providing creative solutions to retail brokerage firms. We define ourselves through our superior execution on behalf of our clients, which has established us as a leader in the industry.

Position Summary

The Artificial Intelligence and Machine Learning Manager is responsible creating and deploying state-of-the-art machine learning models and algorithms for search. You will work closely with the Ryan Specialty AI leadership team to define and execute the vision and strategy for AI modeling training and evaluation, as well as the cutting-edge machine learning algorithms development. You will also collaborate with the AI platform team, federated product teams, and other stakeholders to provide the modeling, framework, and prompt engineering support for the federated product teams to accelerate the AI feature development across the board.

What will your job entail?

Job Responsibilities:
• Lead staff members through service delivery transformation and develop AI support models.
• Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring.
• Derive metrics to demonstrate and measure delivery improvement and fiscal responsibility.
• Direct the overall deployment and activities of their staff and facilitate the resolution of situations brought to their attention that impact the cost, schedule or technical parameters of projects and key efforts.
• Manages all deliverables and obligations related to AI application operation; application maintenance and support; and application release management for assigned application portfolio.
• Lead the development of road maps for key applications to ensure application resiliency and provide added business value.
• Evaluation of root cause technical solutions proposed by the supplier; striving for elimination of technical debt.
• Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.
Work Experience and Education:
• B.S. in Computer Science or equivalent, MS preferred.
• 6+ Experience building and scaling machine learning models in business applications using large amounts of data.
• 3+ Experience leading an Artificial Intelligence/Machine Learning (AI/ML) centric team and driving metrics-based experience improvements preferred.
• Experience using Programming Language such as Python, Java, C++ or SQL a plus.
Licenses & Certifications:
• N/A
Skills:
Technical/Functional Skills:
• Technical Acumen
• Project Management
• Negotiation
• Management
• Data Modeling
• Machine Learning Framework
• Artificial Intelligence
• Statistical Analysis
• Root Cause Analysis
Behavioral Skills:
• Interpersonal
• Organizational
• Presentation
• Build Relationships

Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.

How We Support Our Teammates 

Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them — and their family members — achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more.

The target salary range for this position is $140,000.00 - $175,000.00 annually.

The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/. 

 

We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at [email protected] 

 

The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 

Skills Required

  • Bachelor’s degree in Computer Science or equivalent
  • Master’s degree
  • 6+ years of experience building and scaling machine learning models in business applications using large amounts of data
  • 3+ years of experience leading an AI/ML-centric team and driving metrics-based experience improvements
  • Experience with Python, Java, C++, or SQL
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The Company
HQ: Chicago, IL
3,696 Employees
Year Founded: 2010

What We Do

Ryan Specialty (NYSE: RYAN) is an international specialty insurance firm that provides distribution, underwriting, product development, administration and risk management services by acting as a wholesale broker and a managing underwriter. Our mission is to provide industry-leading innovative specialty insurance solutions for insurance brokers, agents and carriers. Ryan Specialty was founded in 2010 by Patrick G. Ryan, the widely respected insurance veteran, founder and former Chairman and CEO of Aon Corporation. Mr. Ryan saw the need in the marketplace for a specialty organization dedicated exclusively to creating sophisticated insurance solutions for risks that demand innovation, proven leadership, outstanding industry expertise and quality services on behalf of brokers, agents and carriers. For more information about Ryan Specialty, visit our website at ryansg.com. Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce that is reflective of society throughout the entirety of the organization. Our vision is an inclusive and equitable workplace where all employees are valued and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions and benefits of employment.

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