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COMPANY:
Our client is one of the most reputable fintechs. Our client is migrating to the Snowflake platform along with other tooling as part of the modern data stack such as Sagemaker.
RESPONSIBILITIES:
- Contribute to the design, development, and deployment of their Machine Learning platform
- Define and implement best practices for evaluating and deploying machine learning models at scale
- Collaborate with software engineers, data engineers, and data scientists to develop end-to-end ML solutions
- Extend and maintain our self-service platform to help our data science teams quickly productionise ML models following MLOps best practices
REQUIREMENTS:
- Extensive knowledge of software development with Python, SOLID principles
- Understanding of machine learning techniques, such as supervised and unsupervised learning, MLOps, and data engineering
- Practical knowledge of AWS, Sagemaker, GCP, AWS or Azure
- Proven experience in MLOps
NEXT STEPS:
Please register your interest by sending your CV to Olivia Kavaya-Savage via the Apply link on this page.
Keywords:
Machine Learning, Telecoms, MLOps, CI/CD, Software Engineering
