Machine Learning Engineer

Location: Van Wert, OH; Dublin, OHWork Model: Hybrid Position type: Full time - salary We’re a team of employees passionate about delivering best-in-class customer service and driving innovation in IT support.

Integrity, relationships, and excellence are at the heart of everything we do.

Our employees fully utilize their talents and bring their best selves to work.

We believe who you are is just as important as what you do!

The 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.

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.

Focusing 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.

Key Responsibilities of the Role 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 Required Qualifications 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 Qualifications 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) Knowledge, Skills, and Abilities Excellent communication skills including written, verbal, and technology diagrams Understanding of the model development lifecycle and has had exposure to DevOps/MLOps/LLMOps/ModelOps Experience with enterprise Cloud ML Services (i.e., Sagemaker, AzureML, Vertex AI), and open source AI/ML frameworks Strong analytical and problem-solving skills Ability to work both independently and in a team environment Strong organizational, planning & problem-solving skills Ability to understand Central Insurance’s policies and processes Total Rewards Central establishes base pay based on several factors including labor market data and an evaluation of candidate qualifications relative to role requirements.

Base pay is one component of a comprehensive total rewards package designed to support employees’ financial, health, career, and retirement objectives.

Central provides extensive health and wellness benefits to promote flexibility, work-life balance, and long-term financial security.

For more information, see Central Insurance Benefits