As an MLOps Engineer, you'll bridge the gap between machine learning and operations. This role is ideal for those who enjoy deploying and maintaining machine learning models in a production environment.
A1L Realizations is seeking an MLOps Engineer to join their team in Johannesburg. This role is crucial for operationalizing machine learning models, ensuring they are scalable and reliable for production use. You'll work closely with data scientists and software engineers to implement best practices in deploying machine learning solutions.
In your day-to-day work, you'll be responsible for: • Developing and maintaining MLOps pipelines • Collaborating with data scientists to understand model requirements • Monitoring model performance and making necessary adjustments • Implementing CI/CD practices for machine learning workflows
The ideal candidate will have a solid background in machine learning and experience with MLOps tools and frameworks. You should be comfortable working with Python and have a good understanding of data engineering principles. Familiarity with cloud platforms and containerization technologies like Docker and Kubernetes will be beneficial.
This position is suited for mid-level professionals who are passionate about machine learning and eager to apply their skills in a practical setting. If you thrive in a fast-paced environment and enjoy solving complex problems, this role could be a great fit for you.
You'll be taken to the original listing on CareerJet to apply.