As a Senior Machine Learning Engineer at Arid Talent Solutions, you'll focus on developing and maintaining ML pipelines. This role is ideal for someone passionate about AI and MLOps, looking to work with cutting-edge technologies.
Arid Talent Solutions is looking for a Senior Machine Learning Engineer to join their team in Gauteng. In this role, you will be responsible for developing and maintaining reusable machine learning pipelines. You'll apply MLOps principles to ensure that these pipelines are efficient and reliable, integrating practices like CI/CD, automated testing, and monitoring to enhance governance.
Your day-to-day work will involve staying updated with the latest advancements in AI, Generative AI, and cloud technologies. You'll also be expected to leverage tools like Databricks and Kubernetes to optimize machine learning workflows. A strong understanding of software engineering practices related to machine learning platforms is essential for success in this position.
This role suits someone who is passionate about machine learning and eager to implement best practices in MLOps. You should have relevant certifications, such as those from Databricks, and a solid grasp of DevOps principles. Your ability to adapt to new technologies and methodologies will be crucial in driving the team's success.
Key responsibilities include: • Developing and maintaining ML pipelines • Implementing MLOps principles • Monitoring and testing ML systems • Staying current with AI advancements
If you're ready to take your career to the next level and work with a forward-thinking team, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.