BENGALURU · FULLTIME
MLOps Engineer
Infosys
Bengaluru · onsite · Posted 12d ago
Sourced from
Undisclosed2–7 yrsfulltimeBengaluru
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Section · 01
About this role
Job Description2+ yrs DevOps/Cloud/MLOps experience; Python for scripting and automation
Strong with Jenkins, Git, Docker, EKS troubleshooting
AWS: SageMaker, Lambda, S3, ECS, IAM, RDS, infra creation
IaC: CloudFormation (CFT) and Terraform
MLOps: build/operate ML pipelines deploying to SageMaker, Databricks, or Lambda
Roles & ResponsibilitiesDesign, implement, and maintain CI/CD pipelines for ML and application deployments.
Build and manage MLOps frameworks for model training, deployment, monitoring, and retraining.
Automate infrastructure provisioning using Infrastructure as Code (IaC).
Deploy and manage machine learning models in production environments.
Monitor application and model performance, ensuring high availability and reliability.
Manage containerized applications using Docker and Kubernetes.
Collaborate with Data Scientists, ML Engineers, and Development teams to streamline deployments.
Implement security, compliance, and governance best practices across cloud environments.
Optimize cloud infrastructure for scalability, performance, and cost efficiency.
Troubleshoot production issues and perform root cause analysis.
Additional ResponsibilityPython, Information Retrieval, Text Processing, DevOps, CI/CD, Monitoring
Docker, Git, MLflow, model serving, monitoring, debugging, version control, CI/CD, Kubernetes
Prompt Engineering, AI Coding Assistants
Educational RequirementMCA,MSc,MTech,BTech
Preferred SkillsTechnology->AI-AI Engineering->MLOps,Technology->AI-Data science->PYTHON,Technology->Cloud Platform->Amazon Webservices DevOps
Service LineData & Analytics Unit
Roles & ResponsibilitiesDesign, implement, and maintain CI/CD pipelines for ML and application deployments.
Build and manage MLOps frameworks for model training, deployment, monitoring, and retraining.
Automate infrastructure provisioning using Infrastructure as Code (IaC).
Deploy and manage machine learning models in production environments.
Monitor application and model performance, ensuring high availability and reliability.
Manage containerized applications using Docker and Kubernetes.
Collaborate with Data Scientists, ML Engineers, and Development teams to streamline deployments.
Implement security, compliance, and governance best practices across cloud environments.
Optimize cloud infrastructure for scalability, performance, and cost efficiency.
Troubleshoot production issues and perform root cause analysis.
Additional ResponsibilityPython, Information Retrieval, Text Processing, DevOps, CI/CD, Monitoring
Docker, Git, MLflow, model serving, monitoring, debugging, version control, CI/CD, Kubernetes
Prompt Engineering, AI Coding Assistants
Educational RequirementMCA,MSc,MTech,BTech
Preferred SkillsTechnology->AI-AI Engineering->MLOps,Technology->AI-Data science->PYTHON,Technology->Cloud Platform->Amazon Webservices DevOps
Service LineData & Analytics Unit
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Section · 02
Skills
AutomationDevopsDockerTerraformCI/CD Pipelinesaws iamcloud platformamazon web servicesaws cloudformationInformation RetrievalAnalyticsCloud InfrastructuredebuggingdeploymentCloudOpsDatabrickscloudcomplianceGITData ScienceArtificial Intelligence
Section · Company
About Infosys
Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
About
Infosys is a global leader in next-generation digital services and consulting.
Industries
IT Services & ConsultingConsulting
Employee ratings
48,765 reviews
3.5/ 5
Culture
3.6
Career growth
2.6
Work-life
3.6
Employees rate it well for
Salary10252Work Life Balance6251Work Culture5404Learning4530Appraisal3780
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