Central Insurance · 9 hours ago
Machine Learning Engineer
Van Wert, OH
Full-time
Hybrid
Entry, Mid Level
2+ years expCentral Insurance is a company passionate about delivering best-in-class customer service and driving innovation in IT support. They are seeking a Machine Learning Engineer to develop AI/ML solutions and integrate them with Central’s systems and applications, focusing on model training and deployment.
AppsAuto InsuranceBuilding MaterialCommercial InsuranceFinanceFinancial ServicesFinTechInsurTechMobile AppsProperty Insurance
No H1B
U.S. Citizen OnlyHiring Manager
Angie Stewart
Responsibilities
Develop machine learning workflows and end-to-end pipelines for data preparation, training, deployment, monitoring and ensure that the quality of architecture and designs of machine learning systems based on established policies
Conducts statistical analysis, including predictive and prescriptive modeling
Build effective monitoring to monitor the health of your system, and jump in to handle outages of models in production
Collaborate closely with product teams to lead and own API development, maintaining machine learning infrastructure, and seamlessly integrating machine learning features into products
Consult with data engineers in the development of data pipelines, packages, and tools that the data science team utilizes as a key stakeholder
Technical and programmatic support through the entire project life cycle including concept development, system definition, acquisition planning, source selection, system design, development, integration and test, system delivery, and deployment
Build production-grade solutions to scale, manage, and serve machine learning models and data science solutions
Write and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manual, formal recommendations and reports
Qualification
Required
Master's degree in computer science, engineering, applied statistics or related field
Or Bachelor's degree in computer science, engineering, applied statistics or related field and 2 years experience in machine learning
Or 4 years experience in machine learning
Preferred
Azure certification or AWS certification
Exposure in continuous integration & delivery (CI/CD) practices and tools (Git, Jenkins, uDeploy)
Exposure in with building container-based systems such as Docker
Exposure in relational and dimensional data modeling techniques
Exposure in machine learning models and concepts: regression, random forest, boosting, NLP, and deep learning
Exposure in developing and deploying complex and scalable software systems in the analytics space
Exposure in Azure Data Lake or other cloud data warehousing solutions
Exposure in triaging, troubleshooting, and fixing issues in Production environments
Exposure with orchestration and scheduling tools (Control-M)
Benefits
Health and wellness benefits
Flexibility
Work-life balance
Long-term financial security
Company
Central Insurance
Since our beginning in 1876, Central Insurance has evolved into a successful property and casualty group operating on a strong foundation of core values including Integrity in the way we operate our business; Relationships we develop working as a team and sharing in each others’ successes; and Excellence achieved by never compromising on quality, providing superior performance, and pursuing continual improvements.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Evan Purmort
CEO & President
Jessica Seymour, CPCU, ARe
Chief Financial Officer
Company data provided by crunchbase