A Machine Learning Engineer is required for a company in the United States that assists digital consumer brands in reaching their full global potential. The chosen individual will contribute to team activities while also offering detailed feedback. The company is assisting the next generation of digital consumer entrepreneurs in scaling and growing their businesses. During their Series B round of fundraising, the company raised more than $80 million.
Job Requirements:
- Bachelor’s/ Master’s in Engineering or Computer Science (or equivalent experience)
- At least three years of practical experience as a machine learning engineer
- Extensive knowledge in Python, Java, and React
- Experience with machine learning frameworks, libraries, and packages such as Scikit learn, Theano, Tensorflow, Matplotlib, Caffe, and others.
- Outstanding knowledge of data science and computer architecture
- Knowledge of data structures, data modelling, and software architecture
- English fluency for communication with engineering managers.
- Work full-time (40 hours a week) with a 4-hour time difference with US time zones.
Job Responsibilities:
- Contribute to the technical landscape’s long-term ambition
- Oversee software deployment, maintenance, and monitoring in test, integration, and production environments.
- Create cutting-edge machine learning models.
- Existing models’ performance should be trained, monitored, and analysed.
- Contribute to the extension and improvement of current ML frameworks and libraries.
- Work with data engineers to create data and models.
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