MLOps AWS Sage maker Architect || Pittsburgh, PA/Dallas, TX

Position: MLOps AWS Sage maker Architect

Location: Pittsburgh, PA/Dallas, TX

JD:

Senior MLOps Architect who knows Machine Learning and deployment and has integrated ML with other applications. With all these, candidates must have 3-4 years of experience in AWS Sage maker deployment.

In this role you will help to develop, build, design, continuously improve, and support the MLOps Platform. You will participate in all stages of development, use various software and tools, and enabling self-service tools for data science teams.

The role also involves designing, developing, integrating, and deploying tools for Data Science and Machine Learning (ML) Research.

The successful applicant will design and operate a framework for Machine Learning Operations (MLOps), advise on software engineering for ML, and ensure consistency with cloud architectural principles.

(Skills/Experience)

• Bachelor’s degree in Computer Science or Software Engineering
• Having 12+ years in Software Engineering
• Hands-on experience working with at least one cloud (AWS)
• Ability to build MLOps pipelines on AWS SageMaker.
• Hands on DevOps experience – CI/CD in Jenkins , Bitbucket, Kubernetes ,OpenShift.
• Good to have in-depth knowledge in machine learning frameworks or libraries such as TensorFlow, Keras, PyTorch, etc
• Ability to understand tools used by data scientist and experience with software development and test automation
• Experience with Agile development and delivery – Scrum, Lean, XP, Kanban methodologies.
• Proficiency in modern programming languages such as Python.
• AWS Machine Learning certification is a huge plus