AI / Machine Learning Engineering Lead

Everest; New Jersey; Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Health insurance

Employee wellness program

401(k) match

Paid time off (PTO)

Job summary

Everest is seeking an AI / Machine Learning Engineering Lead in Warren, NJ. In this hybrid role, you will design and develop robust AI models, collaborate with cross-functional teams, and utilize advanced statistical methods to transform large datasets into actionable insights.

The ideal candidate should have a background in Computer Science with extensive experience in AI/ML, ideally in the insurance domain. Salary ranges between $180,000 and $220,000 annually, complemented by comprehensive benefits.

Qualifications

• 7–9 years overall experience, including 3–5+ years in AI/ML development and deployment.
• Prior experience in the insurance industry is highly desirable.
• Strong problem-solving and excellent communication skills.

Responsibilities

• Design and develop AI models ensuring scalability and integration.
• Develop metrics to evaluate performance and monitor models.
• Analyze large datasets for insights and validate AI models.

Skills

Machine Learning

Statistical Analysis

Programming

Data Analysis

Insurance Domain Knowledge

Understanding of industry-specific challenges

Education

Bachelor’s degree in Computer Science, Statistics, Data Science or related field

Master’s degree or relevant certifications

Tools

Python

R

SQL

Job description

Title

AI / Machine Learning Engineering Lead

Company

Everest Reinsurance Company

Location

Warren, NJ (Hybrid: 3 days onsite, 2 days remote)

Employment Type

Full time, Regular position

Job Category

Technology

Key Responsibilities

• Design and develop AI models with a robust statistical foundation; ensure scalability and integration into existing systems.
• Develop and utilize metrics to evaluate performance; continuously monitor and refine models to maintain high performance and accuracy.
• Analyze large datasets to extract meaningful insights and patterns; validate AI models against benchmarks.
• Collaborate closely with data scientists, software engineers, and stakeholders to align solutions with business objectives; communicate findings to non‑technical members.

Skills Needed

• Machine Learning: Proficiency in ML algorithms and frameworks such as TensorFlow, PyTorch or similar.
• Statistical Analysis: Strong background in statistics and probability; ability to apply statistical methods to real-world data.
• Programming: Expertise in Python and/or R; familiarity with SQL and other database technologies.
• Data Analysis: Skilled in data preprocessing, cleaning, transformation, and visualization.
• Insurance Domain Knowledge: Experience with insurance datasets including claims and underwriting data.
• Understanding of industry‑specific challenges and regulatory requirements.

Qualifications

• Education: Bachelor’s degree in Computer Science, Statistics, Data Science or related field (Master’s degree or relevant certifications a plus).
• Experience: 7–9 years overall, including 3–5+ years in AI/ML development and deployment; prior experience in insurance industry is highly desirable.
• Soft Skills: Strong problem‑solving, excellent communication, and ability to work collaboratively.
• Adaptability: Stay current with latest AI trends and technologies; apply to improve existing solutions.

Compensation & Benefits

The base salary range for this position is $180,000 – $220,000 annually.

Benefits include health insurance coverage, employee wellness program, life and disability insurance, 401(k) match, retirement savings plan, paid holidays and paid time off (PTO).

Equal Opportunity Statement

Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at [e-mail].