Machine Learning Engineer

Key Responsibilities

•            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.

Required Skills & Qualifications

•            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.