MLOps Engineer
hace 1 mes
We're on a mission to empower startups to grow, deliver, and win in the cloud technology space. As an MLOps Engineer at Automat-it, you'll have the opportunity to work with our customers and help them build and run machine learning systems at scale.
Key Responsibilities:- Develop MLOps pipelines leveraging Amazon SageMaker and its features
- Design and implement cloud solutions and build MLOps pipelines on AWS
- Provision ML AWS resources and infrastructure
- Develop ML-oriented CI/CD pipelines using GitHub Actions, BitBucket, or similar tools
- Deploy Machine Learning models in production
- Help customers tackle challenges on a scale using distributed training frameworks
- Learn new skills and technologies quickly
- Use and write Terraform libraries for infrastructure deployment
- Maintain infrastructures and environments of all types, from dev to production
- Security monitoring and administration
- Ability to design and implement cloud solutions and build MLOps pipelines on AWS
- Experience with one or more MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc.
- Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
At Automat-it, we value the unique contributions of each team member and prioritize the growth and satisfaction of our employees. If you're fueled by passion and driven to pursue excellence, we're the ideal destination for you to thrive and make a meaningful impact in the dynamic world of cloud technology.
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