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Job Description
Our client, one of the largest insurance providers in the US, is looking for an AWS DevOps Engineer to join their machine learning team. They ideally need someone who knows AWS inside and out and has experience collaborating with data or AI based teams. Having AWS SageMaker and/or Neptune experience is a must for this position.
They are currently moving their infrastructure and data into AWS, so they need someone who can help them ensure they're using AWS to its max capacity. You will be sitting on their machine learning so strong working knowledge of AI and machine learning is needed to best collaborate with team members. You'll also be responsible for mentoring their more junior cloud and DevOps engineers. The ideal candidate is skilled with AWS, containerization, CI/CD pipelining, and SageMaker/Neptune.
This is a direct hire position, with a 3-2 hybrid schedule out of their Plano, Texas office. Compensation is a $140-180K salary depending on experience and experience with the ML based technologies.
Required Skills & Experience
- 6+ years working with AWS cloud services.
- Experience collaborating with data/AI/ML teams.
- SME level knowledge of AWS.
- Experience working with SageMaker and/or Neptune.
Desired Skills & Experience
- Bachelors or Associate Degree.
- Related certifications (AWS Solutions Associate, AWS Solutions Architect, etc).
The Offer
- $140-180K
You will receive the following benefits:
- Medical Insurance - little to no out of pocket
- Dental Benefits - amazing coverage
- Vision Benefits
- 15 days of Paid Time Off (PTO)
- 401(k) with matching contributions.
Applicants must be currently authorized to work in the US on a full-time basis now and in the future. AWS DevOps Engineer // ML Learning Experience Needed