Machine Learning Operations Engineer Flash 2023-04-12 Cape Town CBD
Job Ref #: FH-198
Industry: Fintech
Job Type: Permanent
Positions Available: 1
We are looking for a Machine Learning Engineer to lead the designing and executing of the ML Ops strategy for the Data Science team. For this role, you should have significant experience in working with a variety of technologies related to Data Ops, ML Ops and AI. Critical thinking and problem-solving skills are essential for overcoming challenges to build and support a top-class platform.
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
Job Requirements 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
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 #LI-AR1
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