As a Senior Machine Learning Engineer at Arid Talent Solutions, you'll focus on building and maintaining robust ML pipelines. This role is ideal for those who are passionate about AI advancements and have a strong foundation in MLOps practices.
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 that adhere to MLOps principles. Your work will involve implementing CI/CD processes, automated testing, and monitoring to ensure the reliability and efficiency of ML models in production.
You will need to stay updated with the latest advancements in AI, Generative AI, and cloud technologies. Familiarity with tools like Databricks and Kubernetes will be beneficial, as will any relevant certifications in MLOps or DevOps. Your strong understanding of software engineering practices will help you create scalable and maintainable solutions.
This position is well-suited for experienced professionals who are passionate about machine learning and eager to work in an innovative environment. You should be comfortable collaborating with cross-functional teams and have a proactive approach to problem-solving.
Key responsibilities include: • Developing ML pipelines using MLOps principles • Implementing CI/CD and automated testing • Monitoring and governance of ML models • Staying current with AI advancements
To excel in this role, you should have a solid background in MLOps, cloud technologies, and a commitment to continuous learning in the fast-evolving field of machine learning.
You'll be taken to the original listing on PNet to apply.