Job Description
Role: Data Science Engineer
Required Technical Skill Set: Data Science & AI lifecycle Mgmt Tools: NumPy, pandas, TensorFlow, Minio, Pachyderm, Kubeflow, Jupyter Python, Java (SpringBoot), C
Desired Experience Range: 6+ years
Location of Requirement: Pan India
Desired Competencies (Technical/Behavioral Competency)
Must-Have
· 4+ years of experience in Data Science, ML & DL.
· Well versed with building Algorithms to predict Network Performance degradation.
· Expertise in Acumos AI and MLFlow which are platforms to manage and package ML lifecycle.
· Microservices, Cloud native technologies, Serverless Computing
· Cloud computing, SDN, NFV
· Docker, Kubernetes, Redhat Openshift, Kubeflow
· Strong development skills including Linux, Shell, Python, Java, Scala
Good-to-Have
· Exposure to GCP, AWS and Azure services.
· Exposure to Cloud Native Tools: Docker,Kubernetes, Jaeger, Fluentd, Elastic Search, Kibana, Istio, Harbor, Prometheus, Grafana, Ansi...
Required Technical Skill Set: Data Science & AI lifecycle Mgmt Tools: NumPy, pandas, TensorFlow, Minio, Pachyderm, Kubeflow, Jupyter Python, Java (SpringBoot), C
Desired Experience Range: 6+ years
Location of Requirement: Pan India
Desired Competencies (Technical/Behavioral Competency)
Must-Have
· 4+ years of experience in Data Science, ML & DL.
· Well versed with building Algorithms to predict Network Performance degradation.
· Expertise in Acumos AI and MLFlow which are platforms to manage and package ML lifecycle.
· Microservices, Cloud native technologies, Serverless Computing
· Cloud computing, SDN, NFV
· Docker, Kubernetes, Redhat Openshift, Kubeflow
· Strong development skills including Linux, Shell, Python, Java, Scala
Good-to-Have
· Exposure to GCP, AWS and Azure services.
· Exposure to Cloud Native Tools: Docker,Kubernetes, Jaeger, Fluentd, Elastic Search, Kibana, Istio, Harbor, Prometheus, Grafana, Ansi...
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