Machine Learning Engineer - Pittsburgh, United States - Incedo Inc.
Description
Summary of the role:
In this role you will help to develop, build, design, continuously improve, and support the MLOps Platform at PNC. 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.
About the role:
Be able to design, implement, and operate a framework for Machine Learning Operations (MLOps) on cloud (AWS)
Build MLOps pipelines orchestration on Amazon SageMaker
Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
Design, develop, integrate, and deploy tools for Data Science and ML
Research, such as, Model Monitoring, Model Governance, Model Deployment, Data Management, Feature Engineering, among others.
Data science models testing, validation and tests automation
Communicate with a team of data scientists, data engineers and architect, document the processes
Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings.
Preferred Qualifications (Desired Skills/Experience)
Bachelor's degree in Computer Science or Software Engineering
Having 7 years in Software Engineering
Hands-on experience working with at least one cloud (AWS)
Ability to build MLOps pipelines on AWS Sage Maker.
Hands-on DevOps experience – CI/CD in Jenkins, Bitbucket, Kubernetes, and OpenShift.
Good to have in-depth knowledge of machine learning frameworks or libraries such as TensorFlow, Keras, PyTorch, etc
Ability to understand tools used by data scientists 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