Machine Learning Engineer

Join to apply for the Machine Learning Engineer role at Kemper

Location(s):
Alpharetta, Georgia;
Birmingham, Alabama;
Chicago, Illinois;
Jacksonville, Florida

Kemper 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.

The data science and analytics ecosystem is a driver of significant competitive advantage for Kemper and is critical to the organization’s success. The Kemper Analytics Foundation Services team has an immediate opening for an individual to make a lasting impact through building, deploying, and supporting machine learning/Artificial Intelligence (ML/AI) tools and internal data science work products. At this level, an ML Ops engineer is expected to work independently and/or lead smaller efforts.

• Work unsupervised either individually or as part of a team to build, deploy, and support real-time and batch analytics/data science applications
• Work unsupervised either individually or as part of a team to build, deploy, and support ML/AI tools for internal users
• Contribute to the improvement of internal analytics capabilities, processes and infrastructure.
• Collaborate with the business, IT, Model Risk Management, and Enterprise Data Office to responsibly and efficiently support analytics and data science.

• Proficient in Python programming languages
• Proficient with SQL
• Proficient with Linux/Unix, bash scripts
• Proficient with API development
• Proficient with AWS tools such as S3, Kubernetes, EC2, and containerization
• Proficient with data formats such as JSON and XML
• Proficient with Git Lab
• Familiar with SDLC
• Experience with Jenkins, Control-M a plus
• Experience in financial services a plus
• Proficiency with at least one compiled language preferred
• Graduate degree in a quantitative field:
  Mathematics, Statistics, CS, Physics or 5+ years of experience in Dev Ops, MLOps, or Software engineering
• Self‑directed
• Sponsorship is not accepted for this opportunity
• This is a remote opportunity that can be worked from a US‑based home with up to 10% domestic travel required. The applicant will be required to work Central or Eastern hours.
• The range for this position is $100,800 to $168,000. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)

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 is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. 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.

Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like Wire App or Skype to communicate with candidates. If you receive such a message, delete it.

Seniority level:
Mid‑Senior level

Employment type:

Full‑time

Job function:
Engineering and Information Technology

Industry: Insurance