Sr. ML Engineer

Job Description

As a Senior ML Engineer at Palms Insurance, you will play a strategic role in shaping the AI engineering initiatives within our organization. This position requires a highly skilled and experienced individual who can leverage advanced analytical techniques, machine learning models, and data engineering practices to drive business insights and decision-making processes. The ideal candidate will have significant experience in the commercial insurance sector, with a strong understanding of its complexities and data-rich environment.

AI Engineering & Integration

• Build and maintain reliable ETL solutions using AWS services (Glue, Redshift, S3, Lambda, Aurora) to populate the data warehouse.
• Create LLM based data flows for policy and claims bordereaux ingestion and develop mapping profiles for new data sources with our existing template.
• Ensure data quality through rigorous validation and monitoring of data inconsistencies.
• Co-develop a comprehensive data strategy that aligns with the company's strategic goals in collaboration with the VP of Data Analytics & Technology.
• Oversee change releases, ensuring seamless integration of data science solutions into production.
• Ad-hoc reporting, data analysis, resolving data anomalies, building data trends, statistical analysis, refactoring AWS job-aids pertaining to corporate database

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 for ML project efficiency and implement statistical analyses for business insights.
• Lead data strategy development aligned with company goals and oversee production deployment of machine learning solutions.
• Lead peer-review processes to ensure high-quality and reliable data science work.

Governance and Compliance

• Implement data governance standards ensuring compliance with industry regulations.
• Maintain CI/CD processes via GitHub with comprehensive code documentation and peer reviews
• Stay current with industry trends and evaluate new technologies for enhanced analytics capabilities.

Qualifications

• Master's or Ph.D. degree in Physics, Mathematics, Computer Science, or a related field.
• Insurance experience
• 7 years of hands-on experience with Python, SQL, NoSQL, and Git process.
• 7+ years of hands-on experience with AWS services including Glue, Redshift, S3, Lambda, Aurora
• Strong understanding of database architecture and design principles.
• Proven experience in data warehousing, ETL processes, and data pipeline development.
• Strong acumen in coding peer-review and documentation using Git process.
• Expert knowledge in statistical analysis, machine learning, predictive modeling, and data mining techniques.
• Experience with data visualization tools (e.g., Power BI, Grafana) and web app tools.
• Strong Scrum skills for managing projects in a fast-paced, collaborative environment.

Job Overview

This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., "Big Data").

Job Duties & Responsibilities

• Develops machine learning, optimization and other modeling solutions
• Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
• Works with big data and distributed computing platforms
• Develops software and contributes to product development
• Performs other job-related duties as assigned

Required Qualifications

• Bachelor's Degree
• Experience: 4+ years

Preferred Qualifications

• Master's Degree
• Doctoral Degree

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.

Employee Group: Exempt
Employee Type: Full Time
Job Category: Science, Research, and Technology
Organization: Palms Management Services, LLC
Relocation Provided: Yes, if applicable

NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law.

NextEra Energy provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to [email protected], providing your name, telephone number and the best time for us to reach you. Alternatively, you may call 1-844-694-4748. Please do not use this line to inquire about your application status.

NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

NextEra Energy does not accept any unsolicited resumes or referrals from any third-party recruiting firms or agencies. Please see our policy for more information.