Hello,
This is Pradeep from iTech US. We have a position for our client.
MLOps Engineer
Woonsocket, RI (Day One Onsite)
12 Months
This is Pradeep from iTech US. We have a position for our client.
MLOps Engineer
Woonsocket, RI (Day One Onsite)
12 Months
Job Description:
Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)Strong understanding of ML – DL algorithms.
Strong software engineering skills in complex, multi-language systems.
Fluency in Python. Comfort with Linux administration.
Experience working with cloud computing and database systems.
Experience building custom integrations between cloud-based systems using APIs.
Experience developing and maintaining ML systems built with open-source tools.
Experience developing with containers and Kubernetes in cloud computing environments.
Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow etc.)Ability to translate business needs to technical requirements.
Strong understanding of software testing, benchmarking, and continuous integration.
Exposure to machine learning methodology and best practices.
Exposure to deep learning approaches and modelling frameworks (PyTorch, Tensorflow, Keras, etc.)
Thanks & Regards,
Pradeep.
Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)Strong understanding of ML – DL algorithms.
Strong software engineering skills in complex, multi-language systems.
Fluency in Python. Comfort with Linux administration.
Experience working with cloud computing and database systems.
Experience building custom integrations between cloud-based systems using APIs.
Experience developing and maintaining ML systems built with open-source tools.
Experience developing with containers and Kubernetes in cloud computing environments.
Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow etc.)Ability to translate business needs to technical requirements.
Strong understanding of software testing, benchmarking, and continuous integration.
Exposure to machine learning methodology and best practices.
Exposure to deep learning approaches and modelling frameworks (PyTorch, Tensorflow, Keras, etc.)
Thanks & Regards,
Pradeep.
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