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Cognizant
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MLOPS Engineer

MLOPS Engineer

Cognizant

3 - 12 years

1 - 4 Lacs

hyderābād

Posted:4 days ago| Platform: GlassDoor logo

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Skills Required

aws sagemaker azure ml gcp vertex pyspark mlflow airflow github kubernetes terraform model deployment monitoring pipeline inference drift data rest api research agile training ai learning datarobot python automation unix

Work Mode

On-site

Job Type

Part Time

Job Description

Role : MLOps Engineer
Location - AIA Chennai

Experience- 3 to 12years

Key words -Skillset

AWS SageMaker, Azure ML Studio, GCP Vertex AI
PySpark, Azure Databricks
MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline
Kubernetes, AKS, Terraform, Fast API

Responsibilities

Model Deployment, Model Monitoring, Model Retraining
Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline
Drift Detection, Data Drift, Model Drift
Experiment Tracking
MLOps Architecture
REST API publishing

Job Responsibilities:

Research and implement MLOps tools, frameworks and platforms for our Data Science projects.
Work on a backlog of activities to raise MLOps maturity in the organization.
Proactively introduce a modern, agile and automated approach to Data Science.
Conduct internal training and presentations about MLOps tools’ benefits and usage.

Required experience and qualifications:

Wide experience with Kubernetes.
Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
Good understanding of ML and AI concepts. Hands-on experience in ML model development.
Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.
Experience in CI/CD/CT pipelines implementation.
Experience with cloud platforms - preferably AWS - would be an advantage.

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MLOPS Engineer