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Cognizant
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MLOPS Engineer

MLOPS Engineer

Cognizant

3 - 7 years

0 Lacs

karnataka

Posted:1 week ago| Platform: Shine logo

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Skills Required

airflow kubernetes aws sagemaker azure ml studio gcp vertex ai pyspark azure databricks mlflow kubeflow github actions aws codepipeline aks terraform fast api

Work Mode

On-site

Job Type

Full Time

Job Description

As an MLOps Engineer, you will be responsible for researching and implementing MLOps tools, frameworks, and platforms for Data Science projects. You will work on enhancing MLOps maturity within the organization by introducing modern, agile, and automated approaches to Data Science. Conducting internal training and presentations on the benefits and usage of MLOps tools will be part of your responsibilities. Your key responsibilities will include model deployment, monitoring, and retraining, along with managing deployment, inference, monitoring, and retraining pipelines. You will be involved in drift detection, experiment tracking, MLOps architecture, and REST API publishing. To excel in this role, you should have extensive experience with Kubernetes and operationalization of Data Science projects using popular frameworks or platforms like Kubeflow, AWS SageMaker, Google AI Platform, Azure Machine Learning, etc. A solid understanding of ML and AI concepts, hands-on experience in ML model development, and proficiency in Python for both ML and automation tasks are essential. Additionally, knowledge of Bash, Unix command line toolkit, CI/CD/CT pipelines implementation, and experience with cloud platforms, especially AWS, would be advantageous.,

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MLOPS Engineer