( Senior Level )Big Data Lead/Architect | Bangalore | Wipro Technologies

We , at Wipro Technologies , are recruiting for ( Senior Level ) Big Data & AI/ML Platform Lead/Architect | Bangalore
Minimum Experience : 20 Years
Please mail me your CV at vivek.choudhury1@wipro.comAt the body of the email , please provide the below details :Current CTC : INR ______ LPAExpected CTC : INR _____ LPANotice Period : _______ DaysAbout CDP.ai
We are a sub practice team under Wipro Technologies .The Parent Practice Team ( Horizontal ) under Wipro Technologies is known as Engineering R&DWe are a sub Practice under Engineering R&D & we are called CDP.ai ( Cloud Data Platform. Artificial Intelligence )The name of our Practice Team is significant of the Emerging Technologies we work on .We work on Multiple clouds : AWS , Azure , GCP & many Private Clouds .Apart from that , we work on Big Data , Data Platform , Machine Learning & Artificial IntelligenceWe are specialized in High Performance, High Capacity, Highly Reliable, Scalable, and Low Latency systemsPOSITION TITLE: Big Data & AI/ML Platform Lead/ArchitectJob Location : BangaloreThe candidate should have strong experience in Big Data & AI/ML platform engineering experience working with global and distributed teams. This position requires a thorough knowledge of developing scalable, resilient and high-performance Big Data platform from the ground up using Open Source Big Data Technologies on Private or Public Cloud.
ExperienceExperience with large scale Big Data and AI/ML platform engineering with recent coding experience in one or more of the following languages: Java, PythonExperience in developing streaming/batch Big Data processing framework for Data Ingestion, Data Cataloging, Data Transformation and Data DistributionExperience in developing AI/ML platform for model development, management and deploymentExperience in developing Hybrid Cloud Orchestration, Management and Monitoring platform for Virtual Machines and ContainersExperience is implementing full stack Cloud and Big Data securityExperience in developing monitoring and logging frameworksProblem solving and debugging skills
Required Skills:Big Data Processing Technologies: Spark/Flink, Nifi, Kafka, RESTful, Java, PythonBig Data Storage: Object Store, HDFS, Hive, Presto, Data Warehouse, NoSQL(HBase/Cassandra), SQLAI/ML Technologies: Jupyter Lab, TensorFlow, CubeFlow, PyTorch, Pachyderm, ArgoCloud: Google/AWS/AzureDevOps: Terraform, VM’s, Docker, Kubernetes, Jenkins, PrometheusCloud & Big Data Security: Authentication, Authorization, Data Encryption, Key Management for Big Data stores