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We are looking for a hands-on Machine Learning Engineer to join our analytics team and collaborate closely with Data Science. The ideal candidate will have strong Python development skills, apply best practices in design and coding, and ensure performance and scalability in production environments.
Job Responsibility
Work closely with the Data Science team to develop and implement ML algorithms into production code
Apply design and coding best practices, including vectorization and object-oriented programming in Python
Ensure algorithms cover different scenarios with a focus on performance and scalability
Rapid ramp-up to work on deliverables within Scrum teams
Collaborate with cross-functional teams to integrate ML solutions into production systems
Utilize CI/CD, version control (Git), and automated testing in ML projects.
Requirements
Hands-on development expertise for analytics teams working with Data Science
Experience with Python and libraries such as NumPy, Pandas, etc.
Strong understanding of object-oriented programming and its application in Python
Ability to develop algorithms into production code with emphasis on performance and scalability
Experience in applying design and coding best practices, including vectorization
4-7 years of experience in software and/or Python development
Worked with CI/CD, version control (Git), and automated testing in ML projects.