Junior Salesforce Developer – HYBRID

Job Overview

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 platformDefine and implement best practices for evaluating and deploying machine learning models at scaleCollaborate with software engineers, data engineers,
and data scientists to develop end-to-end ML solutionsExtend and maintain our self-service platform to help our data science teams quickly productionise ML models following MLOps best practicesREQUIREMENTS:Extensive knowledge
of software development with Python, SOLID principlesUnderstanding of machine learning techniques, such as supervised and unsupervised learning, MLOps, and data engineeringPractical knowledge of AWS, Sagemaker, GCP, AWS
or AzureProven experience in MLOpsNEXT 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

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