AIOPS Professional

5 - 9 years

0 Lacs

Posted:22 hours ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As an AI Ops Engineer, you will be responsible for utilizing your skills in MLFlow, Python, and Azure to contribute to the success of the team. Your role will involve the following key responsibilities: - Solid background in software engineering. - Strong DevOps background with a preference for Azure DevOps. - Familiarity with MLops frameworks such as MLflow or Kubeflow. - Proficiency in programming languages like Python and Bash. - Knowledge of machine learning frameworks like Tensorflow and Pytorch. - Experience working with public cloud platforms such as AWS and Azure. - Ability to comprehend data science models. Qualifications required for this role include: - Minimum of 5 years of experience in the field. - Previous experience in AIOps/MLOps. - Proficiency in Python and Bash. - Familiarity with MLops frameworks. - Experience working with Azure. If you are interested in this opportunity, please share your CV with the recruiter at swasti.sarangi@infosys.com along with the following details: - Total Experience - AIOps/MLOps Experience - Python/Bash proficiency - MLops Framework knowledge - Experience with Azure - Current Total Compensation (CTC) - Expected Total Compensation (ECTC) - Notice Period We look forward to potentially welcoming you to our team and leveraging your expertise in AI Ops engineering.,

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Infosys

IT Services and IT Consulting

Bangalore Karnataka

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