Machine Learning Engineer

September 15, 2022

Cape Town, Western Cape, South Africa, South Africa

September 15, 2022

Job description

Responsibilities:

Contribute to the Data Science and AI strategy, particularly the strategy for operationalizing machine learning models
Design and build automated, scalable and reliable Machine Learning CI/CD pipelines, including automatic re-training, re-testing and re-deploying
Manage and monitor productionized machine learning models
Enhance data collection procedures to include information that is relevant for building analytic systems
Assist in the integration and development of an external analytics system, which involves various data processing and data science technologies
Enable smarter processes and implement analytics for meaningful insights
Keep current with technical and industry developments
Communicate findings to all stakeholders

Minimum Requirements:

B. Sc or B. Com in Physics, Computer Science, Applied Mathematics, Statistics, Data Science, Software Engineering or similar
5+ years of relevant professional experience, preferably in the fintech industry

Knowledge / Skills:

Strong analytical and problem-solving skills
Expert in Python and SQL
Experience with the 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 cloud-based services such as Azure, AWS, etc
Experience with modern ETL, compute and orchestration frameworks, e.g. Apache Spark, Apache Flink, Apache Kafka, etc.
Experience with container technologies, e.g. Docker, Kubernetes
Experience in building machine learning or AI systems
Experience deploying models to production
Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.
Experience with cloud-based infrastructure, e.g. Azure, AWS, GCP; ideally AWS
Experience with robotic automation of processes within the Financial Services industry