Company:
Daman
Location: Phoenix
Closing Date: 24/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Title : MLOps Engineer
Locations : Hybrid (Plano, TX / San Antonio, TX / Phoenix, AZ)
Responsibilities
- 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 enable 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
Qualifications
- Hands-on experience in setting up AWS security groups, and roles, and implementing best practices around SageMaker and Neptune
- Hands-on experience working with at least one cloud hyperscaler (AWS)
- Ability to build MLOps pipelines on AWS SageMaker + experience with AWS Sagemaker deployment
- Hands-on DevOps experience – CI/CD in Jenkins, Bitbucket, Kubernetes, OpenShift
Preferred:
- Knowledge in 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
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