Machine Learning Engineer

You are a Machine Learning Engineer at Codvo, with over 5 years of experience. In this role, you will collaborate closely with the Data Science team to develop and implement ML algorithms into production code. Your responsibilities will include applying design and coding best practices, ensuring performance and scalability, and working within Scrum teams to deliver results. You will also integrate ML solutions into production systems using CI/CD, Git, and automated testing. 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. You are a Machine Learning Engineer at Codvo, with over 5 years of experience. In this role, you will collaborate closely with the Data Science team to develop and implement ML algorithms into production code. Your responsibilities will include applying design and coding best practices, ensuring performance and scalability, and working within Scrum teams to deliver results. You will also integrate ML solutions into production systems using CI/CD, Git, and automated testing. 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.