AI Machine Learning Engineering Lead

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About Everest:

Everest is a global leader in risk management rooted in a rich 50 year heritage of enabling businesses to survive and thrive and economies to function and flourish. We are underwriters of risk growth progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders who care deeply about our impact on communities and the wider world.

About the Role:

We are looking for a talented AI Solution Engineer to join our innovative team. This role involves designing and implementing advanced AI models to solve complex business problems particularly within the insurance sector. The ideal candidate will have a strong statistical background and be proficient in machine learning and data analysis.

This is a hybrid position based in Warren NJ working 3 days onsite 2 remote.

We are not considering fully remote candidates at this time.

Key Responsibilities:

• Design and Develop AI Models: Create and implement AI models with a robust statistical foundation. Ensure models are scalable and can be integrated into existing systems.

• Performance Evaluation: Develop and utilize metrics to evaluate the performance of AI models. Continuously monitor and refine models to maintain high performance and accuracy.

• Data Analysis: Analyze large datasets to extract meaningful insights and patterns. Validate AI models against existing benchmarks and datasets.

• Collaboration: Work closely with data scientists software engineers and other stakeholders to align AI solutions with business objectives. Communicate findings and recommendations to non-technical team members.

Skills Needed:

• Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with 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 for data analysis and model development. Familiarity with SQL and other database technologies.

• Data Analysis: Skilled in data preprocessing cleaning and transformation. Experience with data visualization tools to present findings effectively.

• Insurance Domain Knowledge: Experience working with insurance datasets including claims and underwriting data.

• Understanding of industry-specific challenges and regulatory requirements.

Qualifications:

• Education: A bachelors degree in computer science Statistics Data Science or a related field is required. A masters degree or relevant certifications (e.g. in machine learning or data science) are a plus.

• Experience: 79 years of overall experience including 35 years in AI/ML development and deployment. Prior experience in the insurance industry is highly desirable.

• Soft Skills: Strong problem-solving abilities excellent communication skills and the ability to work collaboratively in a team environment.

• Adaptability: Ability to stay current with the latest AI trends and technologies and apply them to improve existing solutions.

The base salary range for this position is $180000 - $220000 annually. The offered rate of compensation will be based on individual education experience qualifications and work location. All offers include access to a variety of benefits to employees including health insurance coverage an employee wellness program life and disability insurance 401k match retirement savings plan paid holidays and paid time off (PTO).

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What if I dont meet every requirement At Everest we are dedicated to building an inclusive and authentic workplace. So if you are excited about this role but your past experience doesnt align perfectly with every element in the job description we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

Our Culture

At Everest our purpose is to provide the world with protection. We help clients and businesses thrive fuel global economies and create sustainable value for our colleagues shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Clickhereto learn more about our culture.

• Our Valuesare the guiding principles that inform our decisions actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
• Our Colleague Behaviorsdefine how we operate and interact with each other no matter our location level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues and the global communities we serve.

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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

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