Engineering Structures Jobs in Santa Ana Ca Remote

About Triple Crown

Triple Crown is a nationwide technology and engineering firm that connects top-tier talent with some of the most innovative companies in the world. Specializing in Hardware, Embedded, Software, and Mechanical engineering, we’re trusted by Fortune 500 companies and fast-growing startups to deliver highly skilled professionals.

With seven offices across the U.S. and a candidate-first approach, we move fast to meet the demands of today’s most complex projects. Our team is relationship-driven, results-focused, and passionate about helping engineers and clients thrive.

Recognized as one of the largest and fastest-growing staffing firms in the industry, we’re proud of our bold, high-energy culture built on strong values, real collaboration, and unlimited growth potential.

Technical Recruiter

You will receive extensive hands-on training from our L&D team along with our top performers. During this period, you will learn the fundamentals of recruiting, staffing and customer service.

As a Technical Recruiter at Triple Crown, you will:

• Build and maintain strong relationships with top engineering and tech professionals
• Develop a reliable pipeline of qualified candidates to support current and future client needs
• Guide candidates through job transitions, salary discussions, and career decisions
• Lead employment negotiations and ensure a smooth onboarding experience
• Use advanced technology tools to identify top talent quickly and maintain evolving client needs
• Share market insights to support client strategies around hiring timelines, rates, and locations

Desired Skills and Experience:

• Bachelor's degree in any discipline
• At least one year’s professional work experience
• Great written and communication skills

People Who Are Successful In This Role Are:

• Focused self-starters who pay high attention to detail and have a strong work ethic, positive attitude, and a commitment to exceed set expectations
• Able to quickly learn new technology
• Excellent communicators, both over the phone and in email—sense of humor a plus!
• Thrive in a fast-paced environment and work well under pressure

Things We Have to Offer:

• Great work/life balance
• Competitive compensation structure, base + uncapped commission
• Health, dental and vision benefits
• 401K option
• 3 weeks of PTO + all national holidays
• We are also closed Christmas – New Year’s Day and July 4th week- yes, all paid!
• Company outings and happy hours
• Opportunity for growth
• Annual company trip for Diamond Club, we’ve gone to Las Vegas, the Bahamas, Miami, Mexico, Cayman Islands, Cancun, and this year Cabo!

Does this sound like you? Apply today and take the first step toward a rewarding and fulfilling career!

Triple Crown Consulting provides equal employment opportunities to all employees and employment applicants without regard to considerations of race, color, religion or creed, gender, sex (including pregnancy), national origin or ancestry, ethnicity, citizenship status, genetic information, military or veteran status, age, and physical or mental disability, or any other classification protected by applicable local, state, or federal laws. Triple Crown Consulting does not tolerate discrimination in any aspect of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination.

Position Title: Applied AI Systems Engineer

Location: Orange County, California (Hybrid)

Reports To: Head of Operations

Position Summary

This role is responsible for architecting, building, and deploying a production-grade AI operating system that automates core workflows across leasing, property management, accounting, construction coordination, and asset management.

The engineer will design and implement AI agents, document intelligence systems, and workflow automation pipelines that reduce manual processing, improve accuracy, and increase operational scalability across a commercial real estate portfolio.

This position requires strong systems thinking, rigorous technical execution, and the ability to translate complex operational processes into reliable automation.

Core Objectives

• Build an internal AI platform that automates high-volume operational workflows
• Reduce manual processing time and administrative overhead
• Improve accuracy, speed, and decision visibility across departments
• Establish scalable systems that support portfolio growth without proportional staffing increases

Primary Responsibilities

• AI Platform Architecture & Development
• Design and deploy AI agents to automate operational and administrative workflows
• Build LLM-powered systems for document review, data extraction, and decision support
• Develop retrieval-based systems leveraging leases, financial data, contracts, and SOPs
• Implement evaluation, monitoring, and continuous improvement frameworks

Lease & Document Intelligence Automation

• Build tools to extract key lease terms, obligations, and risk clauses
• Automates lease abstraction and document comparison workflows
• Develop compliance and deadline tracking systems
• Enable searchable knowledge retrieval across lease and legal documents

Leasing & Asset Management Automation

• Automate LOI comparison and deal workflow summaries
• Build dashboards summarizing tenant performance, lease milestones, and risk exposure
• Support market intelligence and tenant prospecting research
• Develop underwriting support and reporting tools

Property Management & Financial Workflow Automation

• Automate CAM reconciliation data processing and variance detection
• Streamline tenant reporting and communication workflows
• Track vendor contracts, compliance deadlines, and service obligations
• Extract and structure financial data from operational documents

Data Infrastructure & Knowledge Systems

• Structure internal documents and data for AI retrieval and automation
• Build document ingestion, indexing, and retrieval pipelines
• Implement vector search and knowledge retrieval systems
• Maintain data integrity, access control, and auditability

Systems Integration & Deployment

• Integrate AI tools with property management, accounting, CRM, and document platforms
• Deploy systems within secure cloud environments
• Implement logging, monitoring, performance, and cost controls
• Ensure reliability and scalability of deployed systems

Collaboration & Implementation

• Translate operational workflows into technical automation solutions
• Work directly with leadership to prioritize automation opportunities
• Train teams and implement adoption workflows
• Establish standards for responsible and secure AI usage

Required Qualifications

• Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative discipline
• Demonstrated success in a rigorous academic or research environment
• 3–7+ years building production software, automation systems, or applied AI solutions
• Strong Python development and API integration experience
• Experience working with structured and unstructured data
• Experience deploying systems in cloud environments
• Strong understanding of system architecture and data pipelines
• Exceptional analytical and problem-solving ability

Preferred Qualifications

• Experience building document intelligence or contract analysis systems
• Experience with retrieval systems and vector databases
• Experience automating financial or operational workflows
• Experience integrating AI into business operations environments
• Experience in real estate, finance, logistics, or operations-heavy industries
• Evidence of research, technical publications, competitive programming, or open-source contributions

Technical Environment (Representative)

• Python and API-based architectures
• LLM platforms and agent orchestration frameworks
• Cloud infrastructure (AWS, Azure, or GCP)
• SQL and vector databases
• Workflow orchestration and automation tools
• Version control, logging, and monitoring systems

Success Metrics

• Performance in this role will be evaluated by:
• Reduction in manual administrative workload
• Automation coverage across operational workflows
• Accuracy and reliability of AI-driven outputs
• Adoption and usage across departments
• Operational efficiency gains and cost reductions

Work Environment

• Hybrid work model with in-person collaboration in Orange County
• Direct collaboration with executive leadership and operational teams
• High autonomy in system architecture and implementation decisions

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience applying NLP techniques to unstructured text
• Hands-on experience working with LLMs, including:
• Prompt design and iteration
• Using pre-trained models for classification or extraction tasks
• Foundational understanding of model fine-tuning, such as:
• Fine-tuning transformer models or LLMs for classification or information extraction
• Adapting existing training scripts or examples to new datasets
• Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
• Experience working with labeled datasets and annotation outputs, including reviewing label quality
• Understanding of common ML problem types, including binary and multi-label classification
• Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
• Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)

OTHER SKILLS and ABILITIES:

• Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
• Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
• Familiarity with RAG architectures and retrieval-based grounding
• Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Introductory experience with weak supervision or noisy-label learning
• Interest in healthcare or biomedical NLP
• Curiosity about knowledge graphs, ontologies, or structured prediction
• Familiarity with secure data handling practices
• Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

EXPERIENCE:

• Bachelor’s Degree in related field
• 1–2 years of experience in machine learning, applied NLP, or software engineering
• Demonstrated some experience training or fine-tuning ML models, not just using APIs
• Ability to collaborate with senior engineers and domain experts and incorporate feedback

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

Now Hiring: Product Engineer

Location: Newport Beach, CA (Onsite)

Employment Type: Full-Time | Direct Hire

We are looking for an experienced Product Engineer to join a growing semiconductor team focused on delivering innovative IC-based products. In this role, you will support the transition of new designs into production while ensuring product quality, reliability, and strong manufacturing yields.

Key Responsibilities

• Drive the release of new IC-based products into production environments.
• Improve and sustain yield performance and profitability for existing products.
• Execute product qualification activities aligned with engineering and design standards.
• Develop product characterization plans and create scripts/tools to collect characterization data.
• Analyze data across process parameters, present findings to cross-functional teams, and help define datasheet specifications and test limits.
• Collaborate closely with design and test engineering teams to develop production test strategies and ensure product performance meets specifications.
• Support lab testing for new designs and early sample validation.
• Monitor manufacturing and test processes to identify and resolve yield issues.
• Partner with the reliability team to support product qualification and failure analysis activities.

Required Qualifications

• Bachelor’s degree in Electrical or Electronic Engineering (Master’s preferred).
• 8+ years of experience in semiconductor product engineering, RF testing, characterization, or related fields.
• Hands-on experience supporting mixed-signal products transitioning into high-volume production.
• Proficiency in C++ and C# programming.
• Experience working with lab and RF test equipment, such as:
• Function Generators
• VNA / PNA
• Oscilloscopes
• Spectrum Analyzers
• Solid understanding of basic statistics and data analysis.

Preferred Experience

• Product characterization and validation at the product level.
• Experience collaborating with test engineers and ATE environments.
• Familiarity with hardware debugging and troubleshooting.
• Experience working with bench test equipment and lab validation setups.
• Exposure to PCB design concepts and validation processes.
• Experience with Lab Test Engineering environments is a plus.

Note: In addition to the salary, the compensation package also includes bonus and equity.

If you’re passionate about semiconductor product engineering and working with cutting-edge RF/mixed-signal technologies, we’d love to hear from you.

Senior Product Designer – Softgoods (Golf Bags & Luggage)

Ghost Golf | Irvine, California | Full-Time | On-Site

Ghost Golf is one of the fastest-growing premium brands in golf. We design high-performance golf bags, accessories, and apparel for golfers who demand exceptional quality, thoughtful functionality, and modern design.

As our brand continues to grow, we are making a significant investment in expanding our golf bag and travel product categories, including the development of a complete luggage ecosystem designed specifically for the modern golf traveler.

We are seeking an experienced Senior Product Designer – Softgoods to help lead the design and development of these products. This role will focus heavily on golf bags, travel bags, and luggage, and requires deep experience in softgoods design, materials, construction, and factory development.

The ideal candidate has experience designing and bringing complex bag products to market and understands the entire process from concept to manufacturing.

This position is based in Irvine, California and requires full-time, in-office work. Remote or hybrid arrangements are not available.

Role Overview

The Senior Product Designer will play a critical role in shaping the future of Ghost Golf’s golf bag and travel product lines.

This role involves improving existing products while designing entirely new categories of bags and travel gear. The position requires a strong balance of creative design, technical product development, and factory collaboration.

You will work closely with internal teams and manufacturing partners to ensure products are designed, developed, and produced at the highest level of quality and performance.

Essential Job Duties and Responsibilities

Design and develop premium golf bags, travel bags, and luggage systems that align with the Ghost Golf brand and product standards.

Responsibilities include:

• Designing new golf bags and improving existing bag products
• Leading the design and development of a complete luggage system for golf travel, including carry-on luggage, check-in luggage, duffels, backpacks, garment bags, and travel accessories
• Translating product concepts into technical drawings and production-ready tech packs
• Selecting and sourcing materials including fabrics, trims, hardware, zippers, and structural components
• Working directly with factories to review samples, refine construction methods, and solve development challenges
• Managing the sampling and prototype process through development and pre-production
• Ensuring designs meet requirements for functionality, durability, quality, and manufacturability
• Collaborating with product, sourcing, and leadership teams throughout the development process
• Researching new materials, technologies, and manufacturing techniques relevant to softgoods design
• Managing multiple product developments while maintaining development timelines

Minimum Requirements and Qualifications

A suitable background would include the following experience and qualifications:

• Minimum 7+ years of experience designing softgoods products
• Experience designing golf bags, travel bags, luggage, or similar technical bag products
• Degree from a recognized design school (Industrial Design, Product Design, Fashion Design, or related field)
• Proven ability to create detailed tech packs for manufacturing
• Strong understanding of softgoods construction, materials, and bag engineering
• Experience working directly with overseas factories and manufacturing partners
• Strong knowledge of fabrics, trims, hardware, and bag construction techniques
• Proficiency in Adobe Illustrator and standard product development tools
• Ability to manage multiple product developments simultaneously
• Strong communication and collaboration skills

Preferred Experience

• Direct experience designing golf bags
• Experience developing luggage systems or travel collections
• Experience working with premium materials and high-end products
• Experience working with Asian manufacturing partners

Candidates without golf industry experience may still be considered if they bring exceptional experience designing luggage or technical softgoods products.

To Be Successful in This Role

The ideal candidate demonstrates:

• Deep understanding of bag design and softgoods construction
• Strong attention to detail and product execution
• Ability to balance design vision, functionality, and manufacturability
• Comfort working directly with factories to refine designs
• Passion for building exceptional products and pushing design forward

Location

This role is based in Irvine, California.

This is a full-time, in-office position.

Remote or hybrid work arrangements are not available.

How to Apply

To be considered for this role, candidates must email their application materials directly.

Please send the following to:

Include:

• Resume

• Portfolio link or PDF showcasing softgoods design work

• Examples of bags, luggage, travel gear, or similar products you have designed

Email Subject Line: Senior Softgoods Designer Application – [Your Name]

Applications submitted through LinkedIn or other job platforms without emailing the required materials will not be reviewed.

*Securian Financial the internal position title is Engineering Sr Analyst or Engineering Consultant. Title and salary will be determined based on applied skills.*

Position Summary:

Join theEnterprise Partner Solutions (EPS)team as aLicensing and Compensation Engineer, where you'll drive innovation in partner experience using cutting-edge SAP technologies. This team envisions a future where every financial producer is empowered from day one through intuitive, reliable, and scalable technology. Our engineering team is committed to transforming the producer experience by delivering back-end systems that simplify onboarding, ensure compliance in licensing, and guarantee timely and accurate compensation. We strive to be the trusted backbone of producer operations, enabling our company to grow with confidence and integrity. If you're passionate about engineering solutions that make a measurable impact, this is your opportunity to shape the future of partner engagement at scale.

Responsibilities include but not limited to:

• Support and maintain SAP technologies related to partner compensation and licensing, including APM (ICM), ALM, OK2, and Advanced Workflow.

• Perform analysis, design, development, and integration on medium to high level complexity assignments.

• Develop and support automation capabilities through webservices and APIs.

• Troubleshoot and resolve incidents across the licensing and compensation platform, including integrations with internal and external systems.

• Collaborate with product analysts, quality engineers, and business stakeholders to deliver enhancements and ensure platform stability.

• Analyze job failures, support tickets, and backlog stories to identify trends and drive continuous improvement.

• Participate in Agile ceremonies and contribute to sprint planning, story refinement, and retrospectives.

• Document technical processes and contribute to knowledge sharing across the EPS team.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.

• 3+ years of experience supporting SAP technologies, preferably in compensation or licensing domains.

• Familiarity with SAP ICM/APM and ALM modules.

• Strong problem-solving skills and ability to manage multiple priorities.

• Excellent communication skills and ability to work cross-functionally.

• Experience with Agile methodologies and DevOps practices is a plus.

Preferred Qualifications:

• SAP Certification in relevant Modules

• Development Languages: Java, Groovy, SQL, Git, IntelliJ, webservices

• Understanding of compensation payment structures for agents and familiarity with licensing and regulatory compliance frameworks governing producer eligibility to sell products.

• Ability to work independently and as part of a collaborative team.

• Commitment to continuous learning and process improvement.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

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LHH is seeking a Senior Databricks AI/ML Engineer to join our client's team in a fully remote role based in Seattle, WA. Candidates must live in one of the following states, and be prepared to pass a background check/identity verification process: WA, OR, ID, OH, SC, NC, TX, or FL

LHH has a dynamic and challenging opportunity for a Senior Databricks AI/ML Engineer to join our client's engineering team. This role focuses on building and deploying scalable AI/ML solutions across key areas of the insurance functions, including underwriting, claims, pricing, customer engagement, and fraud detection, with a strong emphasis on Databricks architecture and ecosystem integration. The engineer will collaborate closely with data scientists, actuaries, product owners, and engineers to operationalize models, transforming them into robust, production-grade systems seamlessly integrated into business workflows and enterprise platforms.

Salary & Benefits:

• $150k to $185k annually (depending on location & experience)
• Medical, dental, and vision insurance
• 401(k) plan with employer match
• Vacation time accrues at a rate of 10 days annually, with increases based on a tenure schedule, up to a maximum of 25 days per year.
• PTO included Four (4) personal days are granted immediately upon hire.
• Paid holidays are provided for the eight (8) holidays observed in this role throughout the calendar year.
• Up to ten (10) days of sick leave are granted immediately upon hire (pro-rated based on hire date and full-time/part-time status).
• Additional paid time off is available for bereavement, jury duty, and employee volunteer activities in the community.
• Life and disability insurance

Minimum Qualifications:

• Bachelor's degree in Computer Science, AI/ML, Data Science/Engineering, or related field (or equivalent experience).
• 6+ years experience in ETL pipelines, SQL Server, and production data workflows.
• 3+ years enterprise experience with Azure & Databricks AI/ML, including data analysis and visual analytics.
• 3+ years applying ML algorithms and transforming data science prototypes into production.
• 5+ years experience with CI/CD workflows for ML models and related code.
• Strong SQL, real-time and batch data pipeline development, and unsupervised learning techniques.
• Familiarity with agile methodologies (e.g., Scrum).

Responsibilities:

• Conduct customer workshops to gather requirements and design analytics architectures using Azure and Databricks AI/ML.
• Serve as Databricks Architect, managing workspace design, deployment, and governance across environments.
• Define and implement Databricks Lakehouse architecture and governance best practices.
• Integrate Databricks with Azure services and lead implementation of Databricks SQL, Delta Live Tables, and MLflow.
• Develop and maintain automated MLOps workflows for model deployment, monitoring, and lifecycle management.
• Set up and configure Azure and Databricks infrastructure for AI/ML workloads.
• Review ML model code and analytics scripts for quality and performance.
• Design and build data pipelines and cloud services for monitoring, analysis, and reporting.
• Develop robust ETL workflows using Databricks, Spark, and SQL Server for structured and unstructured data.
• Provide production support and performance tuning for data engineering workflows.
• Optimize complex SQL queries and stored procedures for data processing and business logic.
• Collaborate with cross-functional teams to ensure data quality and support business decision-making.
• Scale and deploy machine learning models to handle large-scale data.
• Feed raw data into models and build deployment pipelines for new models.
• Implement logging, observability, and performance monitoring for AI/ML systems.
• Conduct architecture reviews and performance testing.
• Perform other duties as assigned.

Preferred Qualifications:

• Master's degree in a related field.
• Experience in the insurance industry (Auto, Home, Umbrella) and related AI/ML applications.
• Proficiency with tools/platforms: Azure ML, Databricks, Microsoft Fabric, Synapse, Power BI, Snowflake, and APIs like Azure OpenAI and Cognitive Services.
• Knowledge of streaming frameworks: Apache Kafka, Azure Event Hubs, Delta Live Tables.
• Strong math, problem-solving, and rapid learning skills.
• Excellent communication, organization, and independent work capabilities.
• Service-oriented mindset with ability to handle ambiguity and build strong relationships.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act

• Los Angeles City Fair Chance Ordinance

• Los Angeles County Fair Chance Ordinance for Employers

• San Francisco Fair Chance Ordinance