LR091 Artificial Intelligence Machine Learning Software Engineer III

Artificial Intelligence Machine Learning Software Engineer III, Cloud Computing Technologies Agile Development Labor Rate applies machine learning in solving many complex problems and in optimizing and analyzing critical business metrics. Develop new algorithms that simplify data collection, data processing, and data interpretation. Use quality code processors such as CPU, GPU, or FPGA to make applications and deploy them appropriately. Design, develop, support, and maintain novel Machine Learning models that can solve critical organizational problems. Responsible for the analysis of various machine learning problems and propose effective solutions to these problems. Involved in software design, software development, software code testing and review, software problem troubleshooting, and software maintenance using integrated AI and ML technologies. Responsible for the analysis of various machine learning problems and propose effective solutions to these problems. Design, develop, test, train, and retrain new and old Machine Learning models, before and after deployment. May have a Bachelor’s degree, Master’s Degree or Doctorate Degree in Computer Science, Computer Engineering, Physics, Data Analytics, or other related technical fields; with 11 or more years of professional experience with Artificial Intelligence and Applied Machine Learning. Have experience using enhanced computer operating systems such as Linux or/and Unix systems for software development. Have hands-on experience in the building of innovative machine learning and artificial intelligence systems, and able to effectively train end-users on how to use and maintain them. Proficient in a variety of programming languages such as Java, CGI, C++, Lisp, C#, Perl, Go, Python, Scala, and so on n. Experienced in the use of big data frameworks such as MapReduce, Storm, Spark, Hive, Samza, HBase, Airflow, Flink, Google BigQuery, Heron, BigTable, and Dataflow. Have proficient understanding of Machine Learning tools such as TensorFlow, MxNet, Keras, PyTorch, DX4j, Spark MLlib, Sonnet, XGBoost, Gluon, Scikit-Learn, and so on. Have excellent communication and leadership skills. Self-motivate, analytical, and able to work efficiently under little or no supervision.

Further rates within this Artificial Intelligence Machine Learning Software Engineer III category.