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• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 29th Jan 2021

Contract role

•    Competent ML engineer, who is independent, results driven and is capable of taking business requirements and building out the technologies to take it to production.
•    Big Data ML Engineer with expert level experience in Hadoop ecosystem and real-time analytics tools including PySpark/Scala-Spark/Hive/Hadoop CLI/MapReduce/ Storm/Kafka/Lambda Architecture/Mongo
•    expert with using the larger Hadoop eco system
•    Familiar with job scheduling challenges in Hadoop
•    Experienced in creating and submitting Spark jobs
•    Experience in high performance tuning and scalability
•    Experience in working on real time stream processing technologies like Spark structured streaming, Kafka, FLink + rocksDB
•    Expertise in Python/Spark and their related libraries and frameworks
•    Experienced with Spring Framework and Spring Boot
•    Experience in building training ML pipeline and efforts involved in ML Model deployment
•    Experience in other ML concepts – Real time distributed model inferencing pipeline, Champion/Challenger framework, A/B Testing, Model performance Scorecard and assessment, Retraining framework, etc.
•    Unix/Linux expertise; comfortable with Linux operating system and Shell Scripting
•    Working Experience in Redis DB – Writing to and from redis-- very critcal Also exp Azure cache
•    Experience in creating Kubernetes open-source container-orchestration system for automating application deployment, scaling, and management; (Experience in Azure is preferable)
•    Experience in tweaking/using Jenkins, deployment orchestration and/or Kubernetes for CI/CD pipeline
•    Creating/modifying Dockers, microservices and deploying them via Kubernetes
•    PL/SQL, RDBMS background with Oracle/MySQL
•    Familiarity with Cassandra, Mongo preferred.
•    Design, Development, Unit and Integration testing of complex data pipelines and to handle data volumes to derive insights
•    Ability to optimize code to be able to run efficiently with stipulated SLA
•    Excellent problem-solving skills, with attention to detail, focus on quality and timely delivery of assigned tasks.