I
MLOps Engineer
I
MLOps Engineer
Infosys LimitedFresher
- Posted 9 hours ago
- Be among the first 10 applicants
Job Description
Responsibilities :
5+ 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 LambdaTechnical and Professional Requirements:
1. SageMaker 2. MLflow 3. Kubeflow 4. Databricks 5. MLOps 6. Model Deployment 7. Model Monitoring 8. Model Retraining 9. Feature Store 10. CI/CD for ML 11. Training Pipelines 12. Inference Pipelines 13. Drift Detection 14. Docker 15. Kubernetes/EKS 16. Terraform 17. CloudFormation 18. AWS Lambda 19. Python AutomationMore Info
Job Type:
Industry:
Role:
Function:
Employment Type:
Key Skills
AI-AI Engineering
AI-Data science
OpenSystem
Python - OpenSystem
About Company
Skills:
Databricks, Aws Lambda, MLops, AWS, Cloudformation, Kubernetes, Python, Docker, Terraform, Jenkins, Git, Drift Detection, EKS, MLflow, Kubeflow, Inference Pipelines, AWS SageMaker, Feature Store, Model Monitoring, Model Retraining, Training Pipelines, Model Deployment, CI CD for ML
Skills:
Devops, Bash Scripting, MLops, Agile, Software Engineering, deploying AI services securely and efficiently, CI CD workflows, RAG architectures for LLMs, AI integration, DevOps software development principles, Docker containerization, Python REST APIs
Skills:
Github, Pig, Devops, Azure Data Factory, Hive, Spark, Databricks, Azure, Exploratory Data Analysis, MLOps automation, ML Ops, Kubeflow, MLFlow, ML model deployment