Infrastructure engineer Jobs in Philadelphia, PA

Job Description : Sr ML Ops Engineer

IMPORTANT TO KNOW :

1. This is Remote - Must be able to support EST.

2. Resource will be paid as a W-2 employee by the staffing supplier.

3. Staffing suppliers - please do not contact the hiring manager directly. Only suppliers in scope of the

• CWM program can submit candidates for this position.

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.

Essential Job Functions :

Delivers specific ML Ops enginering 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 value, concepts, and strategies across multiple scenarios.Experience Requirements :

3-5 years of related experience required.

Additional Qualification :

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.

Special Skill Requirements :

Strong Coding experience.

Python

Object Oriented Programing

AWS - SageMaker

Git, Github

Additional Qualification :

Demonstrated analytical skills. Demonstrated problem solving skills. Possesses strong technical aptitude.

Experience with : 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.

Education Requirements :

High School Diploma or equivalent required. Bachelor's degree preferred.

Competencies : Python

Object Oriented Programing

AWS - SageMaker

Git, Github

INTERVIEW PROCESS :

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Position Comments :