Machine Learning Integration Engineer

Other jobs >> General

Negotiable

Permanent

Description

Location(s)Birmingham AL, Chicago IL



Details



Kemper is seeking a highly motivated, experienced and dedicated Machine Learning Integration Engineer who is passionate about cutting-edge distributed cloud computing and automating machine learning workflows. This role will support end-to-end public cloud automation of application delivery, including 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 large scale data and applications to the Cloud and can lead innovative projects to design, develop, architect and support our Data Science and Analytics teams



Position Responsibilities:



- Build full-stack Java/Python applications and service wrappers for delivery of predictive services on public cloud infrastructure.



- Infrastructure provisioning and integration with Continuous Integration/Continuous Development (CI/CD) platforms, using existing and emerging technologies.



- Contribute 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 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.



- Define, escalate, and resolve all technical issues in an organized, efficient, and professional fashion.



Position Qualifications:



- 3+ 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, Spring, Spring Boot 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.



-MO -CB -ZR -GD -IN -MSJ -PT
  • 1
  • Negotiable
  • None
  • None
  • Re-97607
  • Permanent
  • 5

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