Big Data Machine Learning Engineer

JDM Systems Consultants Inc
JDM Systems Consultants Inc

Job Overview

JOB DESCRIPTION This is a brand-new opportunity in an effort to build out a new Machine Learning Engineering team. The Enterprise Business Analytics group is essentially an internal consulting and services organization that works directly with users across the firm, including Lines of Businesses and partners in Enterprise Strategy, Marketing, Data Analytics, and Enterprise Architecture, to facilitate the development of innovative solutions that help client compete and win with analytics. REQUIRED QUALIFICATIONS Bachelor’s degree in computer science, electricalelectronic engineering or other engineering or technical discipline is required. Minimum of 8 years of experience in IT and Big data software development is required Minimum 3+ Predictive Analytics model implementation experience in production environments using MLDL libraries like TensorFlow, H20, Pytorch, Sci-kit Learn. Experience in using NLP, BiVisual analytics, Graph Databases like Neo4jTiger Graph is preferred, Experiences in designing, developing, optimizing and troubleshooting complex data analytic pipelines and ML model applications using Spark, HDFS and other big data related technologies Programming in Python, R or Scala using distributed frameworks like PySpark, Spark, SparkR Working Knowledge in IDE environmentTools like Jupyter, R Studio, GitHub, Docker, Jenkins Solid knowledge of data warehousing such as Hadoop, MapReduce, HIVE, Apache Spark, as well as cloud base data storage Google Cloud Storage with various formats (Parquet, JSON, ORC, Avro, delimited) Solid understanding of databases such as DB2, Oracle, Teradata, MySQL, PostgreSQL Extensive Experience with R and Python including language-specific and data science-oriented packages required. Experience with Hadoop and Spark cluster, SparkSQL, Spark ML, and other third-party machine learning algorithms using Scala, PySpark andor SparkR Experience with LinuxUnix required Exposure to Google Cloud services- GCP or any cloud environment. Working experience on Apache Airflow Experience in enterprise scale analytic solutions development and deployment with high performance, scalability, availability reliability. Certified Professional Google Data Engineer preferred Must- Have skills Experience in open source technologies (Python, Hadoop, Spark, etc.) Experience in Cloud environment, Google Cloud platform preferred Machine learning expertise BankingFinancial Industry experience is highly preferred.Big Data Machine Learning Engineer 1

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