Azure ML Engineer (100% Remote)

Azure, azure data lake, data factory, ML, Machine Learning, Big Data, Kafka
Full Time, Part Time, Contract W2, C2H W2, Contract Corp-To-Corp, C2H Independent, C2H Corp-To-Corp, Contract Independent
$

Job Description

Role: Azure ML Engineer

Location: Dallas TX- REMOTE TILL COVID SETTLEDOWN

Duration: 12 Months Contract

NOTE: Please do look for "Azure Data Factory (ADF), Azure cache for Redis, Azure CI/CD pipeline, Python, Spark, Kafka, ML models

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

Good presentation and communication skills required

Dice Id : 91007715
Position Id : OOJ - 2864-4194
Originally Posted : 3 months ago
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