Machine Learning Operations Engineer
hace 3 días
We're on a mission to empower startups to grow, deliver, and win. At Automat-it, we believe that our people are the key to our success. That's why we prioritize the unique needs of our customers and the growth and satisfaction of our employees.
About the RoleWe're seeking an experienced MLOps Engineer to join our team. As an MLOps Engineer, you'll work closely with our Data Science and R&D teams to design and implement cloud solutions and build MLOps pipelines on AWS. You'll be responsible for developing Generative AI solutions and POCs, provisioning ML AWS resources and infrastructure, and deploying Machine Learning models in production.
Responsibilities- Develop MLOps pipelines leveraging Amazon SageMaker and its features
- Develop Generative AI solutions and POCs using the latest architectures and technologies
- Provision ML AWS resources and infrastructure
- 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.
We're an all-in AWS Premier partner that empowers startups with DevOps and FinOps expertise and hands-on services. We guide and support hundreds of startups leveraging AWS smarter throughout their growth journey. We save our customers significant time to market and optimize their cloud performance and cost-effectiveness.
We operate in more than seven countries across EMEA. We provide a dynamic environment where you can expand your professional expertise and make a significant impact.
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