About Integrated Specialty Coverages
Integrated Specialty Coverages, LLC (ISC) is a growth stage technology and data-driven commercial insurance wholesaler leading innovation in the market.
Backed by one of the leading private equity firms, KKR, and led by a forward-thinking management team, ISC is combining the worlds of insurance and technology to create an Insurtech powerhouse. As a leading online distributor of insurance products for a range of industries and “Main Street USA”, we are looking for the right people to help us in our mission of achieving exponential growth. We strive to be the number one place to go for brokers and agents to source insurance. To accomplish this, we’re building a digitally focused team that deeply understands the intersection between user experience, data, and AI/ML to optimize the way we engage with our customers and partners.
Job Summary:
We are seeking a highly skilled and experienced senior Gen AI/ML engineer who will be responsible for applying AI & ML solutions to complex business problems in the insurance space. Become part of a driven remote team working on a variety of data science initiatives, from classic machine learning to applying the latest advancements in generative AI. This role is pivotal in advancing ISC's AI capabilities, particularly in leveraging generative AI to drive business innovation and efficiency.
Key Responsibilities:
· Utilize expertise in generative AI technologies to develop innovative solutions for underwriting, risk assessment, claims processing, and customer engagement.
· Think big about the arc of development of generative AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
· Work closely with engineering and devops teams to ensure seamless integration, deployment, and scalability of machine learning models within the existing infrastructure.
· Keep abreast of the latest developments in AI and machine learning, particularly in generative models, to inform strategy and implementation.
· Build, deploy, maintain, and optimize machine learning models
· Adhere to best practices for model validation, testing, and monitoring to ensure performance and reliability
· Provide guidance and mentorship to junior data scientists, fostering a culture of learning and professional growth within the data science team.
· Effectively communicate complex analytical findings to both technical and non-technical audiences through reports, presentations, and visualizations.
· Proactively identify areas for improvement in existing models and processes, advocating for and implementing enhancements.
Qualifications:
· Bachelor’s Degree or higher in machine learning, computer science, mathematics, statistics, or similar quantitative field
· 5+ years of relevant model development and deployment experience, preferably within the insurance industry
· Proven experience in prompt engineering, LLM fine-tuning, and LLM evaluation
· Experience working with RAG architecture, including embedding models, retrieval mechanisms, and integration with LLMs
· Proven experience building and deploying machine learning models
· Experience building & deploying models with AWS tools (Bedrock, Sagemaker, Comprehend, S3, etc.) is preferred
· Proficiency in writing production-quality, scalable code using Python; experience with scikit-learn, PyTorch, TensorFlow, huggingface, Keras, etc.
· Strong working knowledge of MLFlow, Docker, Git, and SQL
· Experience in creating and integrating APIs for model deployment
· Familiarity with data visualization tools (Power BI) is a plus
· Exceptional problem-solving skills with the ability to think strategically
· Demonstrated experience innovating and extracting insights from multiple data types including unstructured data.
· Strong communication skills
· Ability to quickly and efficiently adapt to new concepts and changing project scopes
· Ability to thrive in a remote team environment.
The starting annual pay scale for this position is listed below. Actual starting pay will be based on factors such as skills, qualifications, training, and experience. In addition, the company offers comprehensive benefits including medical, dental and vision insurance, 401(k) plan with match, paid time off, and other benefits.
ISC's salary ranges are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
National Pay Range
$140,000—$165,000 USD
The starting hourly pay scale for this position is listed below. Actual starting pay will be based on factors such as skills, qualifications, training, and experience. In addition, the company offers comprehensive benefits including medical, dental and vision insurance, 401(k) plan with match, paid time off, and other benefits.
ISC's salary ranges are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
National Pay Range
$140,000—$165,000 USD
Benefits of Working at ISC
- Employee Ownership Program - every eligible employee shares in the financial rewards that grow when the company grows
- Professional development opportunities
- Owner Referral Program
- Work from home reimbursement for remote/hybrid roles
- Burnalong digital health and wellness platform
- Canary emergency financial assistance program
- Comprehensive medical, dental, vision
- Life/AD&D Insurance
- Confidential, Employee Assistance Program
- Health Savings Account, includes company contribution
- Short-term disability
- Voluntary benefits - supplemental accident, critical illness, hospital insurance
- Employee discounts
- 401(k) Plan with company match contribution
- Various Time Off Programs
- 11 company paid holidays
Applicants may contact the ISC HR department via e-mail or phone to request and arrange for an accommodation that will allow the applicant to successfully complete the application process. Applicants needing assistance may request accommodation at any time. Please contact ISC at [email protected] or 760-599-7242.
ISC believes in creating long-term relationships by being responsive and relevant and by consistently delivering value to our community of customers. Specifically, we focus on attracting, developing, and retaining the best talent for our business, challenging our people, demonstrating a “can-do” attitude, and fostering a collaborative and mutually supportive environment.
Diversity creates a healthier atmosphere: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, gender, gender identity, sexual orientation, marital status, medical condition, genetic information, mental or physical disability, military or veteran status, or any other characteristic protected by local, state, or Federal law.
**Must be legally authorized to work in the United States.**
**ISC participates in the Federal E-Verify program**
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