( 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.com At the body of the email , please provide the below details : Current CTC : INR ______ LPA Expected CTC : INR _____ LPA Notice Period : _______ Days About CDP.ai We are a sub practice team under Wipro Technologies . The Parent Practice Team ( Horizontal ) under Wipro Technologies is known as Engineering R&D We 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 Intelligence We are specialized in High Performance, High Capacity, Highly Reliable, Scalable, and Low Latency systems POSITION TITLE: Big Data & AI/ML Platform Lead/Architect Job Location : Bangalore The 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. Experience Experience with large scale Big Data and AI/ML platform engineering with recent coding experience in one or more of the following languages: Java, Python Experience in developing streaming/batch Big Data processing framework for Data Ingestion, Data Cataloging, Data Transformation and Data Distribution Experience in developing AI/ML platform for model development, management and deployment Experience in developing Hybrid Cloud Orchestration, Management and Monitoring platform for Virtual Machines and Containers Experience is implementing full stack Cloud and Big Data security Experience in developing monitoring and logging frameworks Problem solving and debugging skills Required Skills: Big Data Processing Technologies: Spark/Flink, Nifi, Kafka, RESTful, Java, Python Big Data Storage: Object Store, HDFS, Hive, Presto, Data Warehouse, NoSQL(HBase/Cassandra), SQL AI/ML Technologies: Jupyter Lab, TensorFlow, CubeFlow, PyTorch, Pachyderm, Argo Cloud: Google/AWS/Azure DevOps: Terraform, VM’s, Docker, Kubernetes, Jenkins, Prometheus Cloud & Big Data Security: Authentication, Authorization, Data Encryption, Key Management for Big Data stores