MLOPS Engineer

Experience: 6 to 15 Years Notice Period : Immediate to 90 days Mode of Interview : In-PersonKey words -Skillset

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

About Cognizant:

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.