Engineer: Machine Learning III

5 days ago

Stellenbosch, Western Cape, South Africa Boardroom Appointments Full time R1 000 000 - R3 000 000 per year


Qualifications and experience:

  • 4 to 6 years Machine Learning and Software Engineering experience
  • Strong analytical and problem-solving skills
  • Expert in Python and SQL
  • Experience with modern software development best practices, e.g.
  • Agile software development
  • Code reviews
  • Unit testing
  • Version control, e.g. git
  • CI/CD
  • Experience with microservice architectures
  • Experience working in an agile team
  • Experience with ML frameworks and tools (e.g. pandas, NumPy, scikit-learn, TensorFlow, Pytorch, Spark MLlib)
  • Experience with modern ETL, compute and orchestration frameworks, e.g. Apache Spark, Apache Flink, Apache Kafka, etc.
  • Development experience in both Windows and Linux
  • Experience with container technologies, e.g. Docker, Kubernetes
  • Experience in building machine learning or AI systems
  • Proficiency in R language
  • Experience deploying models to production
  • Experience building distributed systems
  • Experience with NoSQL databases
  • Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.
  • Experience working with Data Science platforms, e.g. Dataiku, Domino, etc.
  • Experience with cloud-based infrastructure, e.g. Azure, AWS, GCP; (AWS preferred)
  • A relevant degree in Information Technology - Computer Science or Engineering Other
  • A relevant degree in Information Technology - Computer Science or Engineering - Other

Knowledge of:

  • Object oriented and functional programming in Python
  • Modern software development practices
  • Database querying using SQL
  • Data science life cycle
  • Machine learning concepts
  • Machine learning model life cycle
  • Microservice architectures

Ideal:

  • Data Science lifecycle
  • Distributed system design
  • Big data storage and processing solutions
  • Machine learning model architectures

Skills:

  • Analytical Skills
  • Decision making skills
  • Planning, organising and coordination skills
  • Problem solving skills
  • Researching skills

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