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TensorGo Software
3 months ago
Job Title : ML Ops Engineer
Work Location : Hyderabad
Skill Set : Seldon Core, Cubeflow, CI/CD, Kubernetes, Prometheus, Grafana, ISTIO
Looking for an experienced and high-energy ML Ops Engineer. The primary function of this role is to design enterprise architecture. Envision and drive solution architecture after hearing the product s vision and user stories with ability to envision and drive a proactive architectural roadmap for an existing product keeping in mind the future requirements
Requirements :
- Holds experience in migration on spark jobs to Kubernetes.
- Excellent understanding of Open Source software and the Open Source Software community and the ability to collaborate
- Experience with containerizing and deploying ML models
- Sound knowledge and experience with at least one DL frameworks such as PyTorch, TensorFlow, Keras
- Experience using Python,TensorFlow, PyTorch and other Computer Vision frameworks
- Excellent understanding and experience with Kubernetes in deploying Cloud Native configured Applications, AWS EKS, Dockers and MLOps and DevOps pipeline
- Strong in providing solutions in data engineering and cloud migration projects, experienced as Architect for data governance, integration, modeling and quality management.
- Experience in enterprise data warehouse setup, Hadoop cluster installation, pre-sales and solution engineering :
- Seldon Core Setup and Installation in Kubernetes
- Seldon Core Usage for Alibi
- Seldon Core Ingress Setup with Istio
- Custom Kuberenetes version 1.17 (MicroK8S) installation procedure for supporting the deployment of Seldon Core
- Installation and access of OpenDistro ElasticSearch/Kibana with Kibana Dashboard Access - Enterprise Version including Multi-Tenancy and Security
- Integration and Networking of Kafka Cluster for Remote Access for the DeepStream Server.
- Reading Custom Indexes from ElasticSearch Dashboard.
- Setup of Monitoring Dashboards for Grafana/Prometheus for CV layer.
- Setup of Monitoring Dashboards for Grafana/Prometheus for Data layer.
- Setup of Monitoring of Infrastructure and logs using Logstash from ElasticSearch Dashboard.
- Pyspark Code integration into adding ETL data from Kafka topic into Cassandra tables
- Jenkins-X CI-CD installation and setup for Kubernetes Cluster for running CI-CD pipelines.
- Data layer setup using latest versions for Kafka, Apache Spark, Cassandra including any pre-packaged dashboards built-in.
- Istio Monitoring and Istio Dashboards for Service Mesh Topology.
- Dockerize and Kubernetes versions of React (Frontend) and NodeJS (Microservice) applications for Microservices architecture.
- Installation of Apache Pinot for Fast Indexing of Data in the Kafka Data Layer along with Dashboard access.
- Data Management and Data Lineage for Data layer and or CV layer using Pachyderm or Apache Atlas
- WSO2 API Manager Install/Setup configuration in Kubernetes