Technical Specialist, Azure AI/ML Platform
Company:At&t Communication Services India
Exp:5 – 9 years
Experienced Azure AI/ ML Specialist platform admin position to support user/client in their pursuit of Machine Learning and Artificial Intelligence. Build and support Databricks platform in Azure cloud environment, user onboarding and workload deployments. Support the deployed workload through its lifecycle. Maintain the Azure and infrastructure.
Key Roles and Responsibilities:
Must have the ability to empathize with customers and convey confidence. Able to explain highly technical issues to varied audiences. Able to prioritize and advocate customers needs to the proper channels. Take ownership and work towards a resolution.
Understand and support their key solutions, workloads, and priorities on Azure including regular engagement on trend analysis, proactive monitoring, and event planning.
Produce build and deployment automation scripts to integrate between services
Be a subject matter expert on DevOps practices, CI/CD and Configuration Management with assigned engineering team
Experience with cloud computing platforms: Google Cloud, Amazon Web Service, Azure, Kubernetes.
Experience in Azure cloud services (especially Azure Devops) and deploying production code in the same
Experience in MLFlow, Qubeflow, MLTracking, MLExperiments
Experience in big data technologies preferred: Hadoop, Hive, Spark, Kafka.
Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn.
Manage, monitor, and ensure the security and privacy of data to satisfy business needs.
Ability to learn quickly, adapt, and master new concepts and technologies to be able to impact their adoption and usage
Typically requires a Bachelors or foreign equivalent degree in Computer science or Electrical Engineering.
6+ years of demonstrated IT experience supporting and troubleshooting enterprise level, mission-critical applications resolving highly complex issues/situations and driving technical resolution across cross-functional organizations. At least 3+ yrs. of Azure data bricks, Azure Devops and Azure ML Services would be preferred.
Working knowledge on following languages: Python, SQL, R, Java, Scala, and Spark.
Understanding of Microsoft Azure Cloud platform with emphasis on Azure Infrastructure solutions including IaaS and PaaS based environments, and Azure based application management and governance required.
Experience with monitoring tools such as Munin, Prometheus, Grafana, AlertManager, PagerDuty
Experience with logging tools such as Splunk, ElasticSearch, Kibana, Logstash
Knowledge of enterprise software solutions and cloud and datacenter infrastructure competitor landscape including AWS and GCP.
Certifications. Azure Admin Associate or Architect will be a plus
The ideal candidate must have strong client orientation, ability to work with a large userbase and ability to multitask and prioritize in a complex and fast paced environment.
Flexible to work between 1:30 PM to 10:30 PM IST
Education:UG: Any degree/Any specialization