As a Senior Data & ML Engineer at OutsideCapital, you'll play a key role in shaping the future of data analytics and machine learning. Your expertise will help ensure that data is effectively integrated and ready for advanced analytics and ML applications.
OutsideCapital is focused on leveraging data to enhance connected products and drive analytics. As a Senior Data & ML Engineer, you'll be responsible for creating and maintaining robust ML systems that ensure data is properly ingested, integrated, and modeled for analytics. Your work will be crucial in establishing a strong MLOps architecture that supports reproducibility and effective deployment of machine learning models.
In your day-to-day role, you will collaborate with cross-functional teams to ensure that data is governed and ready for analytics. You will also be involved in monitoring the performance of ML systems and implementing lifecycle controls to maintain the integrity and efficiency of the models. This position is ideal for someone with a deep understanding of machine learning processes and a passion for data-driven solutions.
Key responsibilities include: • Designing and implementing ML system architectures • Ensuring data integration and readiness for analytics • Monitoring and maintaining ML deployments • Collaborating with teams to govern data effectively
To succeed in this role, you should have a strong background in machine learning and data engineering, along with experience in MLOps practices. If you're looking to make a significant impact in a forward-thinking company, this position at OutsideCapital could be the perfect fit for you.
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