Machine Learning Engineer

Description

Tower Hill Insurance Group has an exciting opportunity for a talented Machine Learning Operations Engineer who enjoys intellectual challenges and is seeking a rewarding career with a company that is experiencing growth. Not only is Tower Hill Insurance one of Florida's most trusted names in homeowners insurance, but it offers great opportunities for career advancement and personal growth, along with very competitive benefits and rewards. We are growing at a consistent pace and seek professional individuals with drive, team mentality, who want to make an impact, and are committed to a long-term career in the insurance industry.  

The Machine Learning Operations (MLOps) Engineer works with ML Data Scientists, Software Engineers, and infrastructure teams to migrate models across environments, automate workflows, monitor model performance, and address real-time issues. This position utilizes expert software engineering skills and comprehensive understanding of the machine learning lifecycle to drive seamless integration and ongoing enhancement of our AI solutions, ensuring robust performance in production environments. This role leverages the team’s deep expertise in data engineering, data science, advanced analytics, and insurance industry data to aid business partners in risk management, drive efficiencies, and improve customer experience.

ESSENTIAL DUTIES AND RESPONSIBILITIES

· Improve the robustness, scalability, and performance of ML pipelines. Optimize model training and serving processes, minimizing downtime, and automating routine tasks around data acquisition and feature engineering to increase operational efficiency.

· Expand our ML platform's capacity to manage larger data volumes and more complex models. 

· Research and integrate cutting-edge technologies, develop scalable architectures, and elevate system performance and efficiency through continuous enhancements.

· Design and implement robust ML Operations frameworks that streamline the model environment migration, integration, continuous deployment, and monitoring of ML models. 

· Set up comprehensive CI/CD pipelines, automate testing, and create monitoring tools to proactively track model performance and detect issues.

· Collaborate with Data Scientists, Software Engineers, and Product Management teams to transform business requirements into scalable and dependable machine learning solutions. 

· Bridge the gap between model development and deployment, ensuring models are production-ready and align with performance standards.

· Proactively monitor, troubleshoot, and resolve issues affecting model performance, data pipeline integrity, and system efficiency. Identify root causes and implement strategic solutions to ensure the ongoing stability and performance of ML infrastructure.

· Maintain comprehensive documentation to communicate underlying ML Operations architecture, pipelines, and deliverables to stakeholders.

ADDITIONAL DUTIES

This job description reflects the general duties considered necessary to describe the essential functions of the job and should not be considered a complete description of all the work requirements and expectations of the position. Tower Hill reserves the right to assign duties not listed herein as necessary to accomplish the goals of the organization.

Requirements

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION 

High School Diploma or GED required. Bachelor’s Degree in Computer Science, Statistics, Mathematics, Engineering, or related field preferred.

EXPERIENCE 

Minimum of five (5) years of relevant work experience with Machine Learning Operations or Machine Learning Engineering required, including the following:

· Designing and implementing end-to-end pipelines that streamline data ingestion, data preprocessing, model development, deployment, and monitoring.

· Monitoring and logging to track model performance, drift detection, and automate retraining.

· Optimizing model inference appropriate for real-time and batch inference solutions.

The following work experience is highly preferred: 

· Experience with AWS cloud infrastructure, preferably Sagemaker, Lambda, ECS, Glue, API Gateway.

· Experience with modern containerization tools such as Docker and Kubernetes.

· Hands on experience using python libraries (Python, scikit-learn etc.) to implement exploratory data analysis, anomaly detection, and AI-ML techniques (supervised / unsupervised learning), visualization.

· Experience with ML, deep learning and genAI models, both third party and open source preferred.

CERTIFICATIONS

AWS Certifications in ML or DevOps preferred.

LICENSES

Valid Driver’s License required. 

*Tower Hill Insurance currently operates in these states CT, FL, GA, IA, IN, KY, MI, MS, NC, OH, SC, TN, TX, UT, VA, WV. 

Preferred work arrangement hybrid on-site, but remote candidates will be considered based on qualifications and experience. 

BENEFITS

• Medical
• Dental
• Vision
• Life & Accidental Death and Dismemberment (AD&D), and Disability Insurance
• 401(k)
• Health Savings Account
• Accident and Cancer insurance plan

We offer competitive pay and benefits, and well-being programs to support you and your family. For more information about our company, careers and Total Compensation visit:   Total Compensation - Tower Hill Insurance (thig.com) 

Tower Hill Insurance is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Tower Hill Insurance is committed to working with and providing reasonable accommodation for individuals with disabilities. If you need reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to hrdepartment@thig.com or call (561) 812-6247 and let us know the nature of your request and your contact information.

All applicants will receive an acknowledgement that their application has been received. Candidates will not receive status updates regarding their application; however, those candidates selected for further consideration will be contacted by Human Resources.