Machine learning engineer
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Location(s) Alpharetta, Georgia, Birmingham, Alabama, Chicago, Illinois, Jacksonville, Florida Details 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. Position Summary 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/Artifical Intelligence (ML/AI) tools and internal data science work products . At this level expected that an ML Ops engineer will work independently and/or lead/smaller efforts. Position Responsibilities- 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 GitLab
- 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 DevOps, MLOps, or Software engineering
- Self-directed
- Sponsorship is not accepted for this opportunity
- This is a remote opporutnity 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 $104,300 to $173,300. 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.)
The Kemper family of companies is one of the nation's leading specialized insurers. With approximately $12 billion in assets, Kemper is improving the world of insurance by providing affordable and easy-to-use personalized solutions to individuals, families and businesses through its Kemper Auto and Kemper Life brands. Kemper serves over 4.6 million policies, is represented by approximately 24,200 agents and brokers, and has approximately 7,500 associates dedicated to meeting the ever-changing needs of its customers.
- Alliance United Insurance Company is not rated.
- Qualify for your choice of health and dental plans within your first month.
- Save for your future with robust 401(k) match, Health Spending Accounts and various retirement plans.
- Learn and Grow with our Tuition Assistance Program, paid certifications and continuing education programs.
- Contribute to your community through United Way and volunteer programs.
- Balance your life with generous paid time off and business casual dress.
- Get employee discounts for shopping, dining and travel through Kemper Perks.
If you have questions about this posting, please contact [email protected]
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