Our client is looking for a Senior ML Ops Engineer for a 6-month contract and will be working remotely.

Come work for one of the largest insurance companies in the U.S. and help people and businesses become smarter and better prepared to protect the things that matter most to them.

Contract Duration: 6 Months Required Skills & Experience High School Diploma or equivalent. Bachelor's degree preferred. 3-5 years of related experience. Demonstrated analytical skills. Demonstrated problem-solving skills. Possesses strong technical aptitude. Experience with building and maintaining end-to-end machine learning pipelines in production environments. Experience with model and data versioning, model deployment, model serving, and monitoring. Intermediate knowledge of workflow orchestration processes and technologies. Ability to simultaneously handle multiple priorities. Seeks to acquire knowledge in area of specialty. Strong Coding experience. (Python, Object Oriented Programing, and AWS – SageMaker) Demonstrated analytical skills. Demonstrated problem-solving skills. Possesses strong technical aptitude. Experience designing and building scalable enterprise ML Ops frameworks and pipelines including integration, testing, deployment, monitoring, infrastructure management, audit, and governance. Advanced understanding and practical application of workflow orchestration processes and technologies. Ability to simultaneously handle multiple priorities. Seeks to acquire knowledge in area of specialty. Highly thorough and dependable. Effectively coaches and delivers constructive feedback. What You Will Be Doing Daily Responsibilities Utilizes complex knowledge of machine learning engineering concepts and principles to apply skills in a business environment. Primarily focused on productionizing machine learning models and systems at scale. Performs work
independently or with minimal guidance, depending on task complexity. May function as technical lead on assigned projects. Delivers specific ML Ops engineering tasks such as moderate to complex level designing, developing, implementing, optimizing, and maintaining models, systems, and applications using existing and emerging technology platforms. Collaborates with cross-functional architecture teams to define and integrate frameworks and roadmaps for machine learning solutions. Projects are generally of moderate complexity. Consults on the design, development, and implementation of DevOps and ML Ops pipelines. May lead portions of deployment processes under guidance from people leader. Reviews, verifies, validates, and troubleshoots code to ensure high availability and high performance of machine learning models and applications. Uses complex knowledge and understanding of code management principles and best practices to follow architectural and governance guidelines. Effectively communicates and applies machine learning engineering values, concepts, and strategies across multiple scenarios.
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

You will receive the following benefits:

Medical Insurance - Four medical plans to choose from for you and your family Dental & Orthodontia Benefits Vision Benefits Health Savings Account (HSA) Health and Dependent Care Flexible Spending Accounts Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance Hospital Indemnity Insurance 401(k) including match with pre and post-tax options Paid Sick Time Leave Legal and Identity Protection Plans Pre-tax Commuter Benefit 529 College Saver Plan

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.