MLOps Engineer
USA – Remote
Competitive Salary plus Benefits and Bonus
TECH STACK: Python, AWS, Kubernetes / Docker, Sagemaker, MLFlow
This is an exciting opportunity to join a leading technology firm. You will work highly cross functionally with internal teams on developing and deploying Machine Learning solutions at scale.
ABOUT THE COMPANY
This organisation is renowned for working on some of the most interesting and cutting-edge Data science projects on a global scale. You will have the chance to partner with some of the most interesting clients in the world and give them the tools and insight that will improve their global business.
ABOUT THE ROLE
In this role you will join their product team, they work with several internal teams to create products and technologies that enable machine learning solutions to be put into production. This role comes with a high amount of autonomy and working collaboratively with other internal teams that are really passionate about their work.
Key things you will be responsible for are:
- Build Machine Learning pipelines and deployment of them
- Writing code which allows solutions to be deployed
- Identifying the correct tools for effective working
- Develop analytical solutions for the various internal teams
- Leading teams and informing them of developments / improvements
SKILLS & EXPERIENCE:
To be considered you MUST have experience in the following:
- Master’s degree in a STEM subject
- Industry experience working on developing / deploying machine learning models
- Hands on experience writing code with Python
- Understanding of Software Engineering concepts
BENEFITS
You will join a leading tech firm that places innovation at the heart of the work they do, you will also be in an environment that enables for constant development and progression while working in their global community
Job Type: Full-time
Salary: $140,000.00 - $170,000.00 per year
Benefits:
- 401(k)
- Health insurance
- Paid time off
Schedule:
- Monday to Friday
Supplemental pay types:
- Bonus pay
Application Question(s):
- Will you now or in the future require sponsorship or a visa transfer?
- Do you have industry experience designing and deploying Machine Learning systems?
Education:
- High school or equivalent (Required)
Work Location: Remote
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