Philadelphia - Information Technology Infrastructure Engineer Iii

MW Partners is currently seeking a Information Technology - Infrastructure Engineer to work for our client who is a leading global insurance company.

Responsibilities and duties:

• 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 value, concepts, and strategies across multiple scenarios.

Requirements:

• High School Diploma or equivalent required. Bachelor's degree preferred.
• 3-5 years of related experience required.
• 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.

Additional Skills:

• 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.

Special Skill Requirements:

• Strong Coding experience.
• Python
• Object Oriented Programing
• AWS SageMaker
• Git, Github

For a confidential discussion or to find out more, contact Lipsa Mohapatra on 141-523-16766 / Amit Kumar on 909-206-4330 or apply now.