Job Specifications
Location: Van Wert, OH or Dublin, OH
Work Model: Hybrid
Position type: Full time - Salary
We’re a team of employees who are passionate about delivering best-in-class customer service and innovation in the industry. We prioritize integrity, relationships, and excellence in all aspects of our work.
Our employees can 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
Work Authorization
Central 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