As a Senior Machine Learning Engineer at MDI Consulting, you'll focus on implementing and managing MLOps frameworks. This role is ideal for those with strong hands-on experience in machine learning operations and continuous integration and delivery.
MDI Consulting is looking for a Senior Machine Learning Engineer to join their team. In this role, you'll be responsible for implementing and managing MLOps frameworks that are crucial for the deployment and maintenance of machine learning models. Your work will involve setting up CI/CD pipelines specifically tailored for machine learning applications, ensuring that models are not only built but also deployed efficiently and effectively.
You will work hands-on with tools like MLflow and Kubeflow, which are essential for managing the lifecycle of machine learning projects. Containerisation will also be a key aspect of your responsibilities, allowing for scalable and reproducible model deployment. This position is suited for someone who thrives in a collaborative and innovative environment, where you can contribute to cutting-edge projects.
Key responsibilities include: • Implementing MLOps frameworks • Managing CI/CD processes for machine learning • Working with MLflow and Kubeflow • Ensuring containerisation of ML models
To succeed in this role, you should have a solid background in machine learning operations and be comfortable with the tools and technologies mentioned. If you're passionate about advancing your career in AI and ML, this position offers a great opportunity to make a significant impact.
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