Job Information
DT Professional Services Senior Infrastructure Engineer in Philadelphia, Pennsylvania
Job Description:
The Senior Infrastructure Engineer utilizes complex knowledge of machine learning engineering concepts and principles to apply skills in a business environment. You'll be primarily focused on product-ionizing machine learning models and systems at scale by performing work independently or with minimal guidance, depending on task complexity. This individual may function as technical lead on assigned projects. This position is Remote – Must be able to support EST time zone.
Responsibilities:
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 - debugging & defect management.
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 value, concepts, and strategies across multiple scenarios.Experience Requirements:
Basic Requirements:
High School diploma or equivalent required (Bachelor's Degree preferred).
3-5 years of related experience.
Strong coding experience in the following: Python, Object Oriented Programing, AWS – SageMaker, Git and Github.
Experience designing and building scalable enterprise ML Ops frameworks and pipelines including integration, testing, deployment, monitoring, infrastructure management, audit and governance.
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.
Demonstrated analytical skills.
Demonstrated problem solving skills.
Possesses strong technical aptitude.
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.
Knowledge in insurance field is a plus.
The compensation range for this position: $80.00 - $88.00 an hour.
More about DT Professional Services:
We’re looking for driven individuals to contribute to our talented & innovative team! At DT Professional Services, we offer insurance benefits that include medical, dental, and vision coverage, life insurance, long & short-term disability, 401(k) retirement plans (with employer match), tuition & certificate reimbursement, along with paid time off (vacation/sick/holidays). We are happy to offer growth opportunities for you to grow in your career - your success is our success!
DT Professional Services is an SBA 8(a) and HUBZone certified Small Business; highly experienced in building award-winning custom software solutions. Established in 2013, we bring over a decade of experience delivering technology services and solutions that specialize in web & custom application development, project & program management, mobile & cloud computing services.
Our Mission is to provide cutting-edge, customer-oriented technology solutions that maximize value, drive engagement, and empower your business. We do this by employing talented & driven individuals who share the same goals and excitement for the work we do. DT Professional Services believes in fostering collaboration, career growth and building lasting relationships with our employees.
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