Senior Engineer: AI and Machine Learning at MultiChoice

Purpose of the Position

We are building a generalized, cloud-based Recommendation and Personalization platform that serves multiple internal and external clients at Multichoice. 

The AI & Machine Learning Specialist role should appeal to the elite programmer with a passion for Cloud, Serverless Computing, AI, Big Data, Personalization, Search and Recommendations, as well as a working knowledge of the current technology landscapes in these areas. Staying abreast of all the latest Cloud and AI-related trends is essential for this role. 

Key Performance Objectives

Tasks

• Design, develop, maintain and support projects using a variety of technologies. 

Typical duties include: 

• Ascertain requirements by interfacing with our internal clients 
• Identify and research alternative technologies that potentially address the requirements 
• Design and document architectures/applications/data-flows 
• Develop various components (apps/scripts/sites/recommendation engines) 
• Conduct code reviews on completion of these components 
• Design tests for your code 
• Support the production environment 
   

This role will be responsible for delivery requirements for the following internal and external groups: 

• Tech teams 
• Product teams 
• Potential & Existing Subscribers 
• All internal divisions; associate companies and partners 

 
Qualifications Essential

• BSc Computer Science / Engineering is mandatory. Honours, master’s or doctoral degree preferred 
   

Experience

• 4 – 5 years’ experience in a comparable environment 
• Experience in reporting and presentation to senior and executive management 
• Very strong analytical, communication and negotiation skills 
• Ability to work under pressure 

 
Technical Competencies

Languages: 

• Required: Java/Python/NodeJS, HTML, Javascript, Linux shell scripting, Cloud scripting 
• Beneficial: React, Redux, Material UI 

 
DB: 

• Beneficial: DynamoDB, MSSQL, MySQL, MongoDB, ElasticSearch, HDFS, Hadoop, HBase 
   

Cloud 

• Beneficial (AWS): Personalize, Sagemaker, S3, Athena, Quicksight, Glue, SNS, SQS, ElastiCache, Kendra / CloudSearch, Lambdas, Serverless, AWS Gateway, Transfer Family, DynamoDB, EC2, Terraform 
• Beneficial: Other Cloud platforms like Azure, Google etc. 

 
Other: 

• Required: RESTful service development, AI experience 
• Beneficial: Knowledge of recommender systems, Tensorflow, Keras, Spark, Mahout, Stream processing, Kafka, Storm, Flink, Docker, Analytics platforms 

 
Behavioral Competencies

• Scientific, data-minded, detail oriented with a good blend of practical reality 
• Proficient in problem solving, algorithmic analysis, deeply technical 
• Proven record of delivery and execution 
• Quick learner 
• Optimistic outlook 
• A drive for excellence 
• Ability to hit the ground running 
• Ability to work independently if necessary 
• Team player 
• Deliverables driven 
• Calm demeanour during stressful situations 
• Great communicator 
• Strong core Java/Python/NodeJS skills 
• Strong Linux skills 
• Knowledge and experience building massively scalable systems 
• Knowledge and experience working with high volumes of data (beneficial) 
• Knowledge of SCRUM and Agile methodologies (beneficial)