Cloud Machine Learning Engineer
hace 4 semanas
We are on a mission to help startups grow and succeed. At Enovate It, we value the unique contributions of each team member and prioritize their growth and satisfaction.
As an MLOps Engineer, you will work hands-on with Data Science and R&D teams to develop and implement machine learning pipelines on the Amazon SageMaker platform.
You will be responsible for designing and implementing cloud solutions, building MLOps pipelines, and deploying machine learning models in production.
Key responsibilities include:
- Developing MLOps pipelines leveraging Amazon SageMaker and its features
- Developing Generative AI solutions and POCs using the latest architectures and technologies
- Providing ML AWS resources and infrastructure
- Deploying Machine Learning models in production
- Helping customers tackle challenges on a scale using distributed training frameworks
- Learning new skills and technologies quickly
- Using and writing Terraform libraries for infrastructure deployment
- Maintaining infrastructures and environments of all types, from dev to production
- Security monitoring and administration
Requirements include:
- 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 Enovate It, we empower startups with DevOps and FinOps expertise and hands-on services. We guide and support hundreds of startups leveraging AWS smarter throughout their growth journey.
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