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About the job
An emerging company that aims to create a lasting impact on the eCommerce sector with their innovative technological solutions, is looking for a Python Back-End Developer. The selected candidate will be working alongside a small and focused Machine Learning Engineering team to build scalable solutions. The start-up is led by a proven founder in an industry that is growing exponentially and is striving to build a platform that delivers optimal pricing for merchants. This will be a great opportunity to work alongside e-commerce experts in the development of production quality back-end code to help deliver optimal pricing for merchants.
Job Responsibilities:
- Help bring the models into production and assist with the code quality of the pipelines
- Deploy existing open-source tools and write Python back-end code in order to automate ML processes and bring ML models into production
- Develop quality software and use the right tool for the right job
- Advocate and lead on topics like code quality and software development best practices
- Advice and help ML Engineers with coding best practices
- Understand the business needs first and then apply technology to solve those problems
Job Requirements:
- Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
- At least 2+ years of experience as a back-end Python developer
- Solid understanding of Unit Testing and coding best practices
- Good understanding of the nascent field of Data Engineering and ML Engineering
- Ability to discern when to code and when to deploy existing tools
- Experience writing API code and an understanding of how a RESTful API is structured
- Experience with FastAPI, Django, AWS, and GCP are nice to have
- Experience and understanding of cloud services, AWS, and any Data certifications
- Excellent communication and organization skills
- Demonstrable experience working with ML Engineers or data scientists
- Expertise with ML algorithms is desirable
- Experience or exposure to Data Engineering is nice to have
To apply for this job please visit www.linkedin.com.