Machine Learning Engineer (MLOps)

MLOps Engineer

Your Role:

We are looking for a highly capable Senior MLOps Engineer with a strong Software Engineering and DevOps background. As a Senior MLOps Engineer, you will be embedded and supporting a revenue generation or cost optimization project, ensuring its success in production by improving the code, creating automated CI/CD testing, and developing frameworks that can be reused for other similar projects.

• Build, maintain, and document machine learning frameworks (python packages) used across multiple projects. 
• Support a project team with Data Scientists, Business Stakeholders, Analysts, and Data Engineers. 
• Develop reusable feature stores for rules-based and AI/ML models. 
• Implement monitoring capabilities for model performance and effectiveness in production. 
• Automate CI/CD testing and deployments incorporating MLOps best practices. 

Your Profile:

• • Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field.
• 5+ years of overall experience in Data Analytics.
• 3+ years of experience with ML Engineering and/or ML Ops. Up to 2 years of Software Engineering or Data Engineering experience can also count towards this requirement. Sharp critical thinking skills and ability to learn and question complex processes and solutions.
• Experience building scalable machine learning systems and data-driven products working with cross-functional teams.
• Experience creating python packages.
• Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages.
• Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark).
• Proficiency in SQL

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