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AI / ML Big Data Lead - Cloud Architect

2 months ago


Midrand, Gauteng, South Africa Vodafone Full time
Job Summary

We are seeking a highly skilled and experienced Cloud Big Data Tech Lead to join our team at Vodacom. As a key member of our organization, you will be responsible for leading the design, development, and deployment of AI / ML systems and capabilities.

Key Responsibilities
  • Lead and shape the design and development of AI / ML systems and capabilities.
  • Drive the automation of AI / ML predictive model software, including model training.
  • Enable the automation and productionization of data science prototypes through configure-driven capabilities and develop ML apps according to data science requirements.
  • Ensure a streamlined, secure, and digitized flow of data in the Group unified lakehouse to enable effective AI / ML model execution and delivery.
  • Drive the overall Cloud Big Data architecture and solution design to evolve the Group cloud big data capabilities and components to support business requirements and objectives.
  • Stay abreast with the latest trends and research of AI / ML and cloud big data technologies and methods to improve delivery and sustainability of big data, AI / ML applications, and services.
  • Make contributions to the process of defining best practice for the agile development of applications to run on the Group cloud big data platform.
Requirements
  • Advanced degree in Computer Science, Math, Statistics, Engineering, or a related field.
  • Relevant cloud certification at a professional or associate level.
  • 8+ years in Data, AI, and Analytics or related software engineering experience.
  • Exposure and experience with delivery of GenAI applications.
  • Agile exposure, Kanban, or Scrum.
Desirable Skills
  • Experience managing the development life cycle for agile software development projects.
  • Robust software engineering, DevOps engineering, and AI / ML engineering skills and expertise.
  • Experience in using a wide range of data tools such as AWS services – S3, SFTP, Glue, EMR (Spark), Step Functions, Athena, CloudWatch, CloudTrail, KMS, SageMaker, Kinesis, OpenSearch, etc.
  • 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 with a key focus on AWS Sagemaker.
  • Programming experience in Java and Python is essential.
  • Experience working with containerization services such as Docker/Kubernetes or cloud alternatives would be an advantage.
  • Experience with AWS big data lakehouse architecture & analytics is essential, while working knowledge of GCP would be desirable.
  • Experience with other distributed technologies, NoSQL databases, and streaming technologies would be desirable.
  • Strong written and verbal communications.
  • Excellent interpersonal and collaboration skills.