Title: Sr. ML Engineer
Location: Palm Beach, Florida (Hybrid or REMOTE with occasional travel once a month)
Type: Full-Time Opportunity
Pay Range: Up to $145,000
Eligibility: U.S. Citizenship or Green Card required
- Experience in insurance, particularly in Commercial or Specialty (Property & Casualty) lines, preferred.
**No third parties**
Overview:
The Senior Machine Learning Engineer will play a strategic role in shaping AI and data engineering initiatives across the organization. This position requires a seasoned professional capable of leveraging advanced analytics, machine learning models, and data engineering best practices to drive insights, optimize business processes, and enhance decision-making. Experience within the commercial insurance sector is highly desirable due to the data-rich and complex nature of the environment.
Key Responsibilities:
AI Engineering & Integration:
- Build and maintain reliable ETL pipelines using AWS services (Glue, Redshift, S3, Lambda, Aurora) to support the enterprise data warehouse.
- Design LLM-based data flows for policy and claims ingestion, developing mapping profiles for new data sources.
- Ensure high data quality through validation, monitoring, and anomaly detection processes.
- Collaborate with leadership to define and implement a comprehensive data strategy aligned with organizational goals.
- Oversee release management and integration of data science solutions into production.
- Conduct ad-hoc reporting, statistical analysis, and data-driven investigations to support business operations.
Innovation and Continuous Improvement
- Identify, design, and implement predictive and prescriptive ML algorithms to optimize underwriting, claims management, risk assessment, and client engagement.
- Build and maintain feature stores to improve ML project efficiency.
- Lead data strategy development and oversee deployment of production-grade ML solutions.
- Champion peer-review processes to maintain code quality and modeling excellence.
Governance and Compliance
- Establish and enforce data governance standards ensuring compliance with regulatory requirements.
- Maintain CI/CD pipelines via GitHub with full documentation and peer review.
- Monitor emerging technologies and industry trends to enhance data and analytics capabilities.
Core Responsibilities (General)
- Develop machine learning, optimization, and modeling solutions.
- Prepare and document analyses, technical reports, and quantitative findings.
- Work with big data and distributed computing platforms.
- Contribute to software development and product enhancement efforts.
- Perform additional job-related duties as assigned.
Skills Needed:
- Bachelor’s degree and a Master’s or Ph.D. in Physics, Mathematics, Computer Science, or a related field (preferred)
- 7+ years of hands-on experience with Python, SQL, NoSQL, and Git-based workflows.
- 7+ years of experience with AWS services (Glue, Redshift, S3, Lambda, Aurora).
- Strong expertise in database design, data warehousing, ETL development, and distributed data systems.
- Proven background in machine learning, predictive modeling, statistical analysis, and data mining.
- Familiarity with data visualization tools such as Power BI or Grafana.
- Experience in insurance, particularly in Commercial or Specialty (Property & Casualty) lines, preferred.
- Exposure to program insurance or delegated authority models is a plus.
- Strong Agile/Scrum experience for project management in collaborative environments.
- AINS designation or equivalent insurance certification preferred.
To be considered for this role, please apply online or email an updated resume to Rachel Place at Oliver James – [email protected].
