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Are you looking to make an impactful difference in your work, yourself, and your community? Why settle for just a job when you can land a career? At ICW Group, we are hiring team members who are ready to use their skills, curiosity, and drive to be part of our journey as we strive to transform the insurance carrier space. We're proud to be in business for over 50 years, and its change agents like yourself that will help us continue to deliver our mission to create the best insurance experience possible.

Headquartered in San Diego with regional offices located throughout the United States, ICW Group has been named for ten consecutive years as a Top 50 performing P&C organization offering the stability of a large, profitable and growing company combined with a focus on all things people. It's our team members who make us an employer of choice and the vibrant company we are today. We strive to make both our internal and external communities better everyday! Learn more about why you want to be here!

PURPOSE OF THE JOB

The Senior Machine Learning Engineer (MLE) selected for this role at ICW Group will build and deploy high performing machine learning models across the enterprise. As the first MLE on the rapidly growing Enterprise Analytics team, you will have the opportunity to shape the processes through which we build, deploy, and monitor models. This impactful role will put analytic applications into production that drive revenue growth, reduce expenses, and enhance customer experience. The insurance industry is full of complexity and is data rich. You will collaborate closely with business partners across the enterprise in Underwriting, Claims, Finance, Actuarial, HR, Law and Technology to help us realize value from our extensive data resources.

ESSENTIAL DUTIES AND RESPONSIBILITIES

+ Deploy AI and ML models into production.

+ Design and maintain engineering and model delivery standards.

+ Build agentic and GenAI solutions top expand use of AI throughout the organization.

+ Develop analytical solutions and implement scalable feature engineering.

+ Create demo as well as full-featured applications.

+ Put effective model monitoring and guardrails in place.

+ Perform innovative experiments to determine suitable AI techniques to solve stakeholder business problems.

+ Collaborate effectively with data engineering and MLOps teams; recommend development patterns & process improvements.

+ Ensure that internal and external data pipelines are constructed to support sophisticated data models and products.

+ Collaborate well with data scientists to make models production-ready and move them from the lab into live environments.

+ Work closely with IT Security and Data Governance to ensure that analytics practices meet data security, privacy, and quality policies.

+ Contribute to the development of internal policies and ensure Enterprise Analytics team is compliant with applicable regulations.

+ Work with and mentor junior team members on how to use more advanced methods and solve challenges.

+ Be willing to be in-office 3+ days per week at our sunny San Diego HQ.

+ Have interest in joining a company with a history of philanthropy & giving back, stability with over 50+ years in business, flexibility with mindfulness of work life balance, and a company that is committed to helping and investing in colleagues such that they might become the best version of themselves.

SUPERVISORY RESPONSIBILITIES

This role does not have supervisory responsibilities.

EDUCATION AND EXPERIENCE

+ Bachelor's degree from four-year college or university required with a major in Computer Science, Electrical Engineering or related field and a minimum of 6 years of industry experience in MLE roles; or Master’s Degree /PhD in a related field with a minimum of 2 years industry experience working as a MLE.

CERTIFICATES, LICENSES, REGISTRATIONS

None required.

KNOWLEDGE AND SKILLS

+ Have track record of putting ML models into production / deploying models at scale.

+ Extensive cloud computing experience using AWS.

+ Proficient with databases and database methodology, especially Snowflake.

+ Strong knowledge and experience with containers, software design patterns, unit testing, CI/CD, microservices, creating REST APIs, and agile methodology.

+ Knowledge and experience with statistical and machine learning algorithms, NLP, forecasting, recommender systems, reinforcement learning, deep learning, optimization, and LLMs / generative AI.

+ Experience with Python, PyTorch, and Linux.

PHYSICAL REQUIREMENTS

Office environment – no specific or unusual physical or environmental demands and employees are regularly required to sit, walk, stand, talk, and hear.

WORK ENVIRONMENT

This position operates in an office environment and requires the frequent use of a computer, telephone, copier, and other standard office equipment.

_We are currently not offering employment sponsorship for this opportunity._

#LI-TP1 #LI-HYBRID

The current range for this position is

$121,624.81 - $217,710.99

This range is exclusive of fringe benefits and potential bonuses. If hired at ICW Group, your final base salary compensation will be determined by factors unique to each candidate, including experience, education and the location of the role and considers employees performing substantially similar work.

WHY JOIN ICW GROUP?

* Challenging work and the ability to make a difference

* You will have a voice and feel a sense of belonging

* We offer a competitive benefits package, with generous medical, dental, and vision plans as well as 401K retirement plans and company match

* Bonus potential for all positions

* Paid Time Off with an accrual rate of 5.23 hours per pay period (equal to 17 days per year)

* 11 paid holidays throughout the calendar year

* Want to continue learning? We’ll support you 100%

_ICW Group is committed to creating a diverse environment and is proud to be an Equal Opportunity Employer. ICW Group will not discriminate against an applicant or employee on the basis of race, color, religion, national origin, ancestry, sex/gender, age, physical or mental disability, military or veteran status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other characteristic protected by applicable federal, state or local law._

At ICW Group we offer a work environment that encourages entrepreneurialism and celebrates success. Our team members are hands-on contributors who are given the opportunity to make an impact. It's our people who make us an employer of choice and the vibrant company we are today.

Job Category:** **Analytics

Job Type:** **Full time

Req ID:** **JR100747