Senior Data & ML Engineer

OutsideCapital is dedicated to enhancing data analytics and machine learning capabilities across its connected products. As a Senior Machine Learning Engineer, you will be responsible for creating and maintaining robust ML systems that ensure data is effectively ingested, integrated, and prepared for analysis. Your role will involve working closely with data to ensure it meets the necessary standards for analytics and machine learning applications.

In your day-to-day work, you will focus on developing and implementing MLOps practices that enhance the reproducibility and deployment of machine learning models. You will also monitor the performance of these models and manage their lifecycle to ensure they remain effective and relevant. This role is ideal for someone with a strong background in ML-system architecture and a passion for data-driven solutions.

Key responsibilities include: • Designing and implementing ML systems and architectures • Ensuring data is integrated and ready for analytics • Developing MLOps practices for model deployment and monitoring • Managing the lifecycle of machine learning models

To succeed in this role, you should have a deep understanding of machine learning principles and practices, as well as experience with data integration and analytics. Strong problem-solving skills and the ability to work collaboratively in a team environment are essential. If you're looking to make a significant impact in a forward-thinking company, this position could be a great fit for you.