Posted on: 08 April 2023
ID 856583

Machine Learning Engineer

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.
Attributes:
  • Self-motivated and assertive
  • Strong analytical ability
  • Strong verbal and written communication/ presentation skills;
  • Team player and ability to operate independently
  • Good interpersonal skills
  • Trustworthy
  • Ability to prioritise
  • Ability to work in a pressured environment
  • Deadline driven
#ZB
Occupation:
IT, computing jobs


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