Hybrid AI Engineer – Insurance Data & ML Modeling

Everest; Warren Township (IA); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Wellness program

Life insurance

Disability insurance

401k match

Retirement plan

Paid holidays

PTO

Job summary

Everest Global Services, Inc. is seeking a talented AI Solution Engineer in a hybrid role based in Warren, NJ. The role focuses on designing and implementing advanced AI models for the insurance sector, with strong statistical capabilities and experience in ML frameworks.

The position requires 3–5 years of AI development experience, a bachelor’s degree in a related field, and the ability to work 3 days onsite and 2 remotely. Competitive salary and comprehensive benefits are offered.

Qualifications

• Bachelor’s degree in computer science, statistics, data science, or a related field is required.
• Master’s degree or relevant certifications in ML/DS are a plus.
• At least 3–5 years of AI model development and deployment experience in insurance is desirable.

Responsibilities

• Design and Develop AI Models with a strong statistical foundation.
• Evaluate model performance with appropriate metrics and benchmarks.
• Analyze large datasets to extract meaningful insights and patterns.
• Collaborate with data scientists, software engineers, and stakeholders to align AI solutions with business goals.

Skills

Machine Learning

Statistical Analysis

Programming (Python/R)

Data Analysis

Insurance Domain Knowledge

Regulatory Understanding

Education

Bachelor’s degree (CS/Statistics/Data Science)

Master’s degree or related certifications

Tools

TensorFlow

PyTorch

SQL

Job description

Everest Global Services, Inc. is seeking a talented AI Solution Engineer in a hybrid role based in Warren, NJ. The role focuses on designing and implementing advanced AI models for the insurance sector, with strong statistical capabilities and experience in ML frameworks.

The position requires 3–5 years of AI development experience, a bachelor’s degree in a related field, and the ability to work 3 days onsite and 2 remotely. Competitive salary and comprehensive benefits are offered.