Machine Learning Engineer at Safaricom Kenya

JOB DESCRIPTION

Reporting to the MLOps Chapter 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 methodologies.
• 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 3 years of coding experience in a non-university setting.
• Experience in Object Oriented programing.
• 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