DESCRIPTION
We are pleased to announce the following Position for Machine Learning Engineer in the Digital IT Department within the Technology Division.   In keeping with our current business needs, we are looking for a person who meets the criteria indicated below:

Description

Reporting to the Big Data & CVM Lead, the position holder will design, build, deliver and/or optimize machine learning systems. This entails performing statistical analysis to resolve data problems and enhancing model accuracy and performance.

Responsibilities

• Design, architect and build solutions and tools for the big data platform


• Mediate and coordinates resolution of software project deliverables using agile methodology


• Develop pipelines to ingest data into the big data platform based on business demands and use cases


• Develop analytical platforms that will be used to avail data to end users for exploration, advanced analytics and visualizations for day-to-day business reporting


• Provide guidance and advise to technology teams on the best use of latest technologies and designs to deliver a best-in-class platform in the most cost-effective way


• Develop automated monitoring solutions to be handed over to support teams to run and operate the platform efficiently


• Automate and productionize data science models on the big data engineering platform

QUALIFICATIONS

• BS or MS in computer science or equivalent practical experience


• At least 2-3 years of coding experience in a non-university setting.


• Experience in Object Oriented development


• Proficient understanding of distributed computing principles


• Experience in collecting, storing, processing and analyzing large volumes of data.


• Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming


• Experience with various messaging systems, such as Kafka or RabbitMQ


• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB


• Understanding of big data technologies:  Cloudera/MapR/Hortonworks

Last Date to Apply: Feb 24, 2022