ML OPS Engineer
Location: 100% Remote
Salary: 110k-135k
Someone who appreciates architectural, operational, and cutting edge cloud development difficulties would be a great fit for this post. Ideas, development and machine learning operations, API implementation, and web application problem resolution are all mixed together in one. You will take engineering ownership of big end-to-end projects, define best practices in testing, devOps, and CI/CD, and assist in turning prototypes into scalable apps. Your work will also contribute to the preservation of some of the most significant ecosystems on Earth and the advancement of a more sustainable future, as the majority of our current clients are NGOs or other organizations involved in sustainability or conservation.
Top Reasons to Work with Us
This is a unique opportunity to join a cutting edge Computer Software team. You will be working with a passionate and experienced team on advanced technologies to develop high-quality digital products. You will have the opportunity to make a real impact and to create something special.
What You Will Be Doing
- Managing and debugging the Azure cloud infrastructure on a daily basis
- upkeep and expansion of our portfolio of API products
- support for front-end application infrastructure
- Resolving issues with front-end applications and managing software Backend services creation and design
- Maintenance and structuring of the code repository
- Updates and monitoring for Azure cloud environment's security and operations
- Revisions to the API documentation
- Cloud data architecture and maintenance updates to the architectural and environment wiki
- Development, supervision, troubleshooting, and maintenance of Docker and containerized applications across multiple implementations
- Scalability of applications and cost-effectiveness of Azure
What You Need for this Position
- Extensive experience with Python, API design, Docker or similar containerized approaches, Azure cloud infrastructure, scaling services including Kubernetes, and frontend technologies such as React.
- Ability and drive to immerse yourself in new technologies as needed.
- Proven experience and passion for architecting enterprise software systems with auto-scaling.
- Familiarity with offerings from Microsoft Azure Cloud and experience deploying cloud-based applications. Experience across multiple environments is desirable.
- Familiarity with common machine learning and computer vision concepts and/or past experience in machine learning operations (MLOps). Experience with deep learning frameworks such as PyTorch and Tensorflow is a plus.
- An understanding of and experience designing security frameworks for cloud-based data and services.
- Experience selecting and implementing authentication services for end users and API clients.
Benefits
- Vacation/PTO
- Medical
- Dental
- Vision
- 401k
Sound like you? Apply today, or send your resume to: Lauren.Formby@Cybercoders.com
Colorado employees will receive paid sick leave. For additional information about available benefits, please contact Lauren Formby
Applicants must be authorized to work in the U.S.
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