MLOPS Engineer bei Cognizant

%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3ERole : MLOPS Engineer%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3EExperience : 4 to 10 Years%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3ERelevant Experience : 2+ Years%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3ELocation : Pan India%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3EMode of Interview - In Person - Chennai%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3Cbr%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3EDate : 29%3Csup%3Eth%3C/sup%3E November 2025 (Saturday)%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3EResponsibilities%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Co:p%3E%26nbsp;%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EModel Deployment, Model Monitoring, Model Retraining%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EDeployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EDriftDetection, Data Drift, Model Drift%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EExperimentTracking%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EMLOps Architecture%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EREST API publishing%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3EJob Responsibilities:%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EResearch and implement MLOps tools, frameworks and platforms for our Data Science projects.%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EWork on a backlog of activities to raise MLOps maturity in the organization.%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EProactively introduce a modern, agile and automated approach to Data Science.%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EConduct internal training and presentations about MLOps tools benefits and usage.%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3E%3Cstrong%3ERequired experience and qualifications:%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EWide experience with Kubernetes.%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EExperience 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).%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EGood understanding of ML and AI concepts. Hands-on experience in ML model development.%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EProficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EExperience in CI/CD/CT pipelines implementation.%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EExperience with cloud platforms - preferably AWS - would be an advantage.%3Co:p%3E%3C/o:p%3E%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EExperience 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).%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EGood understanding of ML and AI concepts. Hands-on experience in ML model development.%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EProficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EExperience in CI/CD/CT pipelines implementation.%3Co:p%3E%3C/o:p%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-size:10.0pt;%22%3E%3Cspan style=%22line-height:107%;%22%3EExperience with cloud platforms - preferably AWS - would be an advantage.%3C/span%3E%3C/span%3E%3C/p%3E Jetzt bewerben