ML Ops Engineer

5+ years of experience in Data science and Minimum 1 year of experience in MLOps

Experience on Data science project and Model deployment.
Designing and architecting end to end ML solution.
Experience with scripting and coding using Python, Pyspark and Shell Script, SQL (Not Mandatory).
Working experience with Docker and Kubernetes.
Experience with concepts and technologies used in CI/CD build, deployment pipelines and tools(Github/jenkins any other).
Creating pipelines that automate the process of building, training, and deploying ML models.
Exprience with Monitoring and troubleshooting ML models.
Experience with cloud platforms such as Azure/AWS/GCP.
Experience with REST API Services, Fast API, Flask.
Having knowledge of VPC and Networking will be good but not mandatory.