As a Senior Data & ML Engineer at OutsideCapital, you'll focus on building and maintaining robust machine learning systems. This role is ideal for someone with a strong background in MLOps and system architecture.
OutsideCapital is looking for a Senior Data & ML Engineer to enhance their machine learning capabilities. In this role, you will be responsible for designing and maintaining ML systems that are efficient and reliable. Your expertise in MLOps will be crucial for ensuring that the deployment and monitoring of these systems are seamless and effective.
On a day-to-day basis, you will work closely with data scientists and software developers to create architectures that support reproducibility and lifecycle management of machine learning models. You will also implement monitoring systems to track the performance of these models in production, ensuring they meet the required standards.
This position is well-suited for someone with a strong technical background in machine learning and a passion for operational excellence. You should be comfortable working in a fast-paced environment and be able to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Key responsibilities include: • Designing ML system architectures • Implementing MLOps practices • Monitoring and maintaining deployed models • Collaborating with cross-functional teams
If you have a deep understanding of machine learning systems and a commitment to best practices in deployment and monitoring, this role could be a great fit for you.
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