AI Engineering Lead

Guarantee Trust Life Insurance is hiring an AI Engineering Lead to join our team. If you have the hands-on experience described below, this is an awesome time to join Guarantee Trust Life. We are investing in AI and new technologies as we modernize platforms and enhance the way we interact with our customers. This role will be at the forefront of that change and you’ll help shape the vision of our future.

About Us:
Guarantee Trust Life Insurance Company is a longstanding leader in life and accident & health (A&H) insurance. In business since 1936, Guarantee Trust Life Insurance Company was founded on the two fundamental principles of quality products and excellence in customer service. We offer excellent benefits including a company sponsored profit-sharing program, a tuition reimbursement program, and half-day Fridays (every Friday!).

When you join Guarantee Trust, you are joining a company that actively participates in and supports our community. We are passionate about personal development, giving back, and supporting the Chicagoland area. Team members are encouraged to participate in self-development projects and volunteer opportunities each year and are financially recognized for their participation. Guarantee Trust also sponsors the Joffrey Ballet, the Chicago Bears, and the Chicago Blackhawks. Employees have access to complementary and/or discounted tickets periodically throughout the year.

We invite you to learn more about Guarantee Trust Life by visiting our website: www.gtlic.com
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Responsibilities - Overview:

• Develop solutions to successfully implement the large AI/ML initiatives of the organization.
• Assist leadership in defining problem statements, execution roadmap, and incremental milestones.
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or LLM/RAG recommendation systems.
• Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.
• Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc.
• Build both batch and real-time model prediction pipelines with existing application and front-end integrations. 
• Collaborate with data owners to develop large-scale data modeling experiments.
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
• Collaborate with others to identify impactful projects, influence key decisions with data, and ensure effective use of AI based technologies.
• Work autonomously to design, develop and deploy solutions.
• Collaborate with data owners to analyze large datasets to uncover insights and trends that inform product development and personalized customer experiences
• Continuously monitor and improve the performance of deployed models, ensuring they meet business objectives and scalability requirements
• Stay up to date with the latest advancements in machine learning, AI, data science and engineering, and apply this knowledge to improve our products and services.

Location & Work Schedule:

This position is based in our Glenview, IL location and will be eligible for a hybrid work schedule after an initial ramp-up period during which the role is full time in the office.

• Have a minimum of 7 years of experience in software development.
• Possess a degree in Computer Science, Data Science, or similar, or equivalent experience.
• Possess professional working experience with LLMs, RAG, NLP, ML solutions.
• Having demonstrated a solid foundation in data structures, algorithms, and software engineering principles, with a track record of developing high-quality, maintainable code.
• Proven Machine Learning experience, preferably at scale.
• Prior experience with transfer learning and model modifications.
• Excellent problem-solving skills, while exhibiting high enthusiasm to tackle complex challenges in AI/ML development and deployment.
• Possess good understanding on leveraging Azure's AI and machine learning services to deploy, monitor, and maintain ML models, ensuring high availability and performance.
• Strong software engineering foundation with a commitment to delivering high-quality, maintainable, and well-tested code
• Proven ability to stay updated with state-of-the-art techniques through continuous research and application.
• Strong ability to adapt quickly to evolving project scopes.
• Passionate about creating intuitive technology solutions and a continuous desire to learn and take on new challenges.