Join a dynamic team as a Machine Learning Engineer focusing on MLOps. You'll be responsible for deploying models that facilitate instant lending decisions. This role is perfect for someone with a solid background in machine learning and a passion for operationalizing models.
As a Machine Learning Engineer with a focus on MLOps, you'll play a crucial role in deploying machine learning models that enable instant lending decisions. Your work will help automate processes, ensuring that decisions are made quickly and efficiently without human intervention. This position is hybrid, allowing for a mix of remote and in-office work in Cape Town.
In your day-to-day responsibilities, you will be involved in building and maintaining data pipelines, deploying models to production, and monitoring their performance. You will collaborate closely with data scientists and software engineers to ensure that the models are integrated seamlessly into the existing systems. Your expertise in MLOps will be essential in optimizing the deployment process and ensuring that the models are scalable and reliable.
The ideal candidate for this role has a solid background in machine learning and experience with model deployment. You should be comfortable working with cloud platforms and have a good understanding of data management practices. Strong problem-solving skills and the ability to work under pressure are also important, as you'll be working in a fast-paced environment where deadlines are critical.
Key requirements include: • Proficiency in MLOps and model deployment techniques • Experience with machine learning frameworks and data pipelines • Familiarity with cloud platforms such as AWS or Azure • Strong programming skills, preferably in Python
If you're passionate about machine learning and eager to make an impact in the financial technology space, this role could be a great fit for you.
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