Senior Specialist: Senior Specialist: Machine Learning Engineer at Vodafone Global Enterprise

Role Purpose/Business Unit:

• Are you ready to join Vodacom’s exciting world of Digital IT and become part of a high performing, dynamic technology team? With our customers at the heart of our purpose, you will be part of the evolution of our IT technology landscape, harnessing the latest technical innovations available.
• The SS Machine Learning Engineer delivers through self and others to:
• Use their knowledge of ML/AI and combine it with programming and software engineering skills to enable easier use of and access to machine learning models and analyses.
• Support local markets and group functions in obtaining business value from the ML
• Support ML deployments following MLOps and DevOPS approach

Your responsibilities will include:

• Design and develop Machine Learning systems and patterns
• Automate predictive model software, including model training
• Productionise data science prototypes and develop Machine Learning apps according to data science requirements
• Facilitate the flow of data between ML/AI models and the companies data systems
• Enhancing data pipelines to ensure that data is clean, accurate and optimized for machine learning models
• Work with the architecture team to evolve the Big Data capabilities (reusable assets/patterns) and components to support the business requirements/objectives
• Research, investigate and evaluate new technologies and methods to improve delivery and sustainability of machine learning applications and services
• Make contributions to the process of defining best practice for the agile development of applications to run on the Big Data Platform

The Ideal candidate for this role will have:

Must have technical / professional qualifications: 

• Matric essential.
• 3 year degree or diploma in IT, Engineering, Computer Science or relevant field is essential
• Advanced degree in Computer Science/Math/Statistics or a related discipline would be an advantage
• Relevant cloud certification at professional or associate level would be an advantage
• 5+ years Machine Learning, Data Engineering or related software development experience
• Agile exposure, Kanban or Scrum

Core competencies, knowledge and experience:

• Experience managing the development life-cycle for agile software development projects
• Robust data modelling and data architecture skills
• Knowledge of Big Data frameworks like Hadoop, Spark, Hive, Yarn, Airflow, etc.
• Experience in working with distributed ML frameworks like H2O and/or TensorFlow
• Experience in working with various ML libraries
• Programming experience in Java, Python is required
• Experience working containerisation services such as Docker/Kubernetes or cloud alternatives would be an advantage
• Working experience with AWS or GCP would be desirable.
• Working experience with other distributed technologies, NoSQL databases and streaming technologies would be desirable
• Strong written and verbal communications
• Excellent interpersonal and collaboration skills.