As an MLOps Engineer, you'll bridge the gap between machine learning and operations. This role is perfect for someone who enjoys working with data and deploying models in a scalable way.
A1L Realizations is seeking a skilled MLOps Engineer to join their team in Johannesburg. In this role, you will be responsible for operationalizing machine learning models, ensuring they are scalable and reliable. You will work closely with data scientists and software engineers to deploy models into production and maintain their performance over time.
Your day-to-day tasks will include: • Collaborating with data scientists to understand model requirements and performance metrics. • Implementing CI/CD pipelines for model deployment. • Monitoring and optimizing model performance in production environments. • Utilizing cloud services to manage and scale machine learning operations.
This position is ideal for someone with a solid background in machine learning and data engineering, as well as experience with cloud platforms. You should be comfortable working in a fast-paced environment and have a proactive approach to problem-solving. Strong communication skills are essential, as you will be working with cross-functional teams.
If you are passionate about machine learning and want to play a key role in operationalizing models, this is the opportunity for you. A minimum of three years of experience in a similar role is required, along with a strong understanding of deployment strategies and monitoring tools.
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