Machine Learning Ops. Engineer

Company: Merastar Insurance Company
Location: Chicago, Illinois, United States
Type: Full-time
Posted: 10.AUG.2021

Summary

Location(s)Chicago ILDetailsKemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented a...

Description

Location(s)Chicago ILDetailsKemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.POSITION SUMMARY:Kemper is seeking a highly motivated, dedicated, and experienced MLOps Engineer who is passionate about DevOps, cutting-edge distributed cloud computing and automating machine learning workflows.This role will be a key technical leader developing and supporting machine learning model platform components supporting the end-to-end lifecycle; build, deploy, monitor, and retraining. This includes infrastructure provisioning and integration with Continuous Integration/Continuous Development (CI/CD) platforms, using existing and emerging technologies. Our ideal candidate is someone who has experience building and moving ML models to production using modern cloud, microservice and event architectures. This person should be comfortable leading innovative projects through design, develop, and support working with Data Science and Analytics teams.PRINCIPAL DUTIES AND RESPONSIBILITIES:Build and support machine learning model deployment solutions that provide value to the businessDemonstrate up-to-date expertise in software engineering practices and applies this to the development, execution, and improvement of machine learning modelsContribute to all aspects of service delivery, including participation in the service readiness process to validate that all required conditions of satisfaction are met prior to project rollout.Collaborate with other DevOps, architecture, and infrastructure teams to implement conformant build/deploy pipelines specific to Machine Learning and Analytic workloads.Participate with software engineers, data scientists, and machine learning engineers within the Scrum Agile processes.QUALIFICATIONS:10+ years' experience delivering technical related services to Enterprise or High Growth Tech Enabled companies3+ years moving large scale data and applications to the Cloud and leading innovative projects to AWS and other cloud providers.3+ years designing and building Java or Python based microservices.Good understanding of Machine Learning techniques and life cycle.Able to implement test driven, contract first REST Services and APIs.Proficiencies in the following languages and technologies: Git Bash, Python, Java, JavaScript, SQL, Jenkins, Ansible, AWS, Docker, Kubernetes.Familiarity and understanding of Spark, Hadoop, NoSQL Databases.Experience working in an Agile team environment with production oriented, incremental release cycles.Positive, constructive collaboration and communication skills.The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. The incumbent must have the abilities or aptitudes to perform each essential function proficiently with or without reasonable accommodation. Our organization has a dynamic work environment where positions evolve and change. Therefore, the Company reserves the right to modify, delete, or add job duties, responsibilities and skills that are stated in this job description at any time.Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.-ZR -GD -IN -PT

 
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