Architect - Machine Learning (MLOps Specialist)
INR 4000K-5500K (estimate) Senior-level Full Time
Tasks
- Architect MLOps strategy
- Build container-based ML platforms
- Design ML and LLM pipelines
- Enable observability monitoring and drift detection
- Ensure security governance and compliance
- Implement CI/CD automation
- Implement LLMOps prompt versioning and evaluation
- Manage model lifecycle training registry deployment monitoring
- Mentor engineers on MLOps best practices
- Perform architecture reviews and troubleshooting
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS | AWS Lambda | Airflow | Amazon API | Amazon API Gateway | Amazon ECS | Amazon EKS | Amazon EMR | Amazon SageMaker | Artifact governance | Batch Transform | CI/CD | CloudWatch | CodeBuild | CodePipeline | Databricks | Datadog | Drift Detection | Feature Store | Grafana | IAM | KServe | Kubeflow | Lineage Tracking | MLflow | Model Drift | Model Drift Detection | Model Monitor | Model Registry | Prometheus | Prompt engineering | Python | SQL | SageMaker Batch Transform | SageMaker Feature Store | SageMaker Model Monitor | SageMaker Model Registry | SageMaker Processing | SageMaker Training | Sagemaker Pipelines | Secrets management | Snowflake | Spark | Step Functions
Education
N/A
Roles
Architect | Cloud Architect | Cloud) | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
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