Central Mutual Insurance Company
Senior Machine Learning Engineer
Central Mutual Insurance Company, Dublin, Ohio, United States, 43016
6620 Mooney St, Dublin, OH 43017, USA
Req #997Friday, September 27, 2024The Data Science Center of Excellence Team at Central is looking for a passionate machine learning engineer to work on AI/ML solutions in support of our business stakeholders at Central.Our team provides analytical solutions that support claims, services, and marketing. As a machine learning engineer, you will be responsible for deploying models in the cloud as well as on-premises, shared Python frameworks, and data pipelines that integrate AI/ML models with Central’s system and customer-facing applications.As a
Sr. Machine Learning Engineer
focused on AI/ML model training and inference pipelines, you will use your technical skills, as well as your domain expertise, to develop innovative solutions. If you have a desire to deliver business value through technology designs in an environment that will allow you to grow and innovate, we will be delighted to have you.How You Will Make an ImpactUnderstand business objectives, product or business requirements and develop solution that achieve themPresent complex analyses clearly and conciselyAbility to build collaborative relationships with peers and multi-functional partnersProvide live on-call support by participating in the team on-call rotation and owning production issues from root cause analysis to resolution to future preventionDevelop ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring and ensure that the quality of architecture and designs of ML systemsDrive code reviews to ensure quality, maintainability, and adherence to coding standardsCollaborate closely with product teams to lead and own API development, maintaining ML infrastructure, and seamlessly integrating machine learning features into productsConducts reasonably complex statistical analysis, including predictive and prescriptive modelingCreates solutions for business problems that can be integrated into internal systems or softwareEnsure data quality, security and availability for the data, notebooks, models, experiments, and applications.Consult with data engineers in the development of data pipelines, packages, and tools that the data science team utilizes as a key stakeholderTechnical 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 deploymentBuild production-grade solutions to scale, manage, and serve machine learning models and data science solutionsWrite and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manual, formal recommendations and reportsProvide guidance and mentorship to junior engineers, fostering growth and development within the teamWhat You Will DoMaster’s degree in a technology related field such as computer science, engineering, applied statistics and 2 years experience in machine learning
Or Bachelors degree and 4 years experience in machine learningOr 6 years experience in machine learning
Proven experience with continuous integration & delivery (CI/CD) practices and tools (Git, Jenkins, uDeploy).Proven experience with building container-based systems such as Docker.Proven experience with relational and dimensional data modeling techniques.Proven experience or strong interest in machine learning models and concepts: regression, random forest, boosting, NLP, and deep learning.Proven experience or strong interest in developing and deploying complex and scalable software systems in the analytics space.Experience with Azure Data Lake or other cloud data warehousing solutions.Exposure with orchestration and scheduling tools (Control-M)Proven experience with triaging, troubleshooting, and fixing issues in Production environmentsExcellent communication skills including written, verbal, and technology diagrams.Understanding of the model development lifecycle and has had exposure to DevOps/MLOps/LLMOps/ModelOpsCapable of working independentlyExperience with enterprise Cloud ML Services (i.e., Sagemaker, AzureML, Vertex AI), and open source AI/ML frameworksAbility to understand Central Insurance’s policies and processesPreferredAzure certification or AWS certificationWork AuthorizationCentral will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.Equal Opportunity EmployerIt is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability. The applicant should respond to questions on this application in a way that will not divulge such information. #LI-Hybrid #LI-AS1
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Req #997Friday, September 27, 2024The Data Science Center of Excellence Team at Central is looking for a passionate machine learning engineer to work on AI/ML solutions in support of our business stakeholders at Central.Our team provides analytical solutions that support claims, services, and marketing. As a machine learning engineer, you will be responsible for deploying models in the cloud as well as on-premises, shared Python frameworks, and data pipelines that integrate AI/ML models with Central’s system and customer-facing applications.As a
Sr. Machine Learning Engineer
focused on AI/ML model training and inference pipelines, you will use your technical skills, as well as your domain expertise, to develop innovative solutions. If you have a desire to deliver business value through technology designs in an environment that will allow you to grow and innovate, we will be delighted to have you.How You Will Make an ImpactUnderstand business objectives, product or business requirements and develop solution that achieve themPresent complex analyses clearly and conciselyAbility to build collaborative relationships with peers and multi-functional partnersProvide live on-call support by participating in the team on-call rotation and owning production issues from root cause analysis to resolution to future preventionDevelop ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring and ensure that the quality of architecture and designs of ML systemsDrive code reviews to ensure quality, maintainability, and adherence to coding standardsCollaborate closely with product teams to lead and own API development, maintaining ML infrastructure, and seamlessly integrating machine learning features into productsConducts reasonably complex statistical analysis, including predictive and prescriptive modelingCreates solutions for business problems that can be integrated into internal systems or softwareEnsure data quality, security and availability for the data, notebooks, models, experiments, and applications.Consult with data engineers in the development of data pipelines, packages, and tools that the data science team utilizes as a key stakeholderTechnical 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 deploymentBuild production-grade solutions to scale, manage, and serve machine learning models and data science solutionsWrite and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manual, formal recommendations and reportsProvide guidance and mentorship to junior engineers, fostering growth and development within the teamWhat You Will DoMaster’s degree in a technology related field such as computer science, engineering, applied statistics and 2 years experience in machine learning
Or Bachelors degree and 4 years experience in machine learningOr 6 years experience in machine learning
Proven experience with continuous integration & delivery (CI/CD) practices and tools (Git, Jenkins, uDeploy).Proven experience with building container-based systems such as Docker.Proven experience with relational and dimensional data modeling techniques.Proven experience or strong interest in machine learning models and concepts: regression, random forest, boosting, NLP, and deep learning.Proven experience or strong interest in developing and deploying complex and scalable software systems in the analytics space.Experience with Azure Data Lake or other cloud data warehousing solutions.Exposure with orchestration and scheduling tools (Control-M)Proven experience with triaging, troubleshooting, and fixing issues in Production environmentsExcellent communication skills including written, verbal, and technology diagrams.Understanding of the model development lifecycle and has had exposure to DevOps/MLOps/LLMOps/ModelOpsCapable of working independentlyExperience with enterprise Cloud ML Services (i.e., Sagemaker, AzureML, Vertex AI), and open source AI/ML frameworksAbility to understand Central Insurance’s policies and processesPreferredAzure certification or AWS certificationWork AuthorizationCentral will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.Equal Opportunity EmployerIt is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability. The applicant should respond to questions on this application in a way that will not divulge such information. #LI-Hybrid #LI-AS1
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