Areas of technology recruiting include but not limited to;
• Data Science (Machine Learning, Data Mining, Predictive Analytics, NLP, Data Sets)
• Data Engineering (Python, SQL, Pandas, Java, C/C++)
• Data Operations (DataOps)
• Hadoop (MapReduce, Yarn, Spark, Storm, Hive, hbase, Pig, HDFS)
• NoSQL (MongoDB, Cassandra, CouchDB)
• Open Source Relational Databases (MySQL, PostgreSQL, Redis, MariaDB, Neo4j)
• Big Data Analytics and Data Warehousing (Amazon Redshift, Vertica, Netezza, Teradata)
• Data Visualization (Pentaho, Tableau)
• Machine Learning: GBM, XGBoost, Vowpal Wabbit, LibFM, Scikit-learn, Lasagne, Neural Network
• Statistical Modeling (R, MATLAB, Octave, SAS, SPSS)
Empowering the inspired through our latest news
In December I was fortunate enough to participate in The Global AI conference in Boston, which as with all AI lead events combined...
As some of you may recall, in 2015 when to us mere mortals Artificial Intelligence was just a term associated with aliens, there was a...
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