AI OPS / MLOPS - AIML DeveloperCognizantfull-timeRequired skillsPythonAgileAirflowAWSAPIAzureBashcommand lineCodePipelinedata scienceDatabricksGCPGitHubKubeflowKubernetesmachine learningTerraformUnixVertexAbout the role Cognizant Website: cognizant.com Job details: Role : AI OPS / MLOPS Engineer - AIML DeveloperLocation - BangaloreExperience- 5 To 1 4yearsNotice Period -Immediate to 60 daysMLOps EngineerKey Words -SkillsetAWS SageMaker, Azure ML Studio, GCP Vertex AIPySpark, Azure DatabricksMLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipelineKubernetes, AKS, Terraform, Fast APIResponsibilitiesModel Deployment, Model Monitoring, Model RetrainingDeployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipelineDrift Detection, Data Drift, Model DriftExperiment TrackingMLOps ArchitectureREST API publishingJob 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. Click on Apply to know more. This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.