Imizizi is looking for a Data Scientist with a strong focus on MLOps and GenAI Ops. This role involves establishing and operating practices that enhance the deployment and monitoring of machine learning models.
Innovative and tech-driven
At Imizizi, the Data Scientist plays a crucial role in the development and maintenance of machine learning operations. The team is dedicated to implementing best practices in MLOps and GenAI Ops, ensuring that models are effectively deployed and monitored throughout their lifecycle. This position is ideal for someone who is passionate about leveraging data to drive insights and improve operational efficiency.
In this role, you will be responsible for establishing CI/CD pipelines for machine learning models, which includes model versioning and deployment automation. You will also focus on observability and logging to ensure that models perform as expected in production environments. Your day-to-day tasks will involve monitoring model performance, responding to incidents, and continuously improving the deployment processes.
Key responsibilities include: • Establishing MLOps practices within the team • Developing and maintaining CI/CD pipelines for machine learning models • Implementing model versioning and deployment automation • Monitoring model performance and responding to incidents
The ideal candidate will have a solid understanding of MLOps principles and experience with CI/CD practices. You should be comfortable working in a fast-paced environment and have a proactive approach to problem-solving. If you are eager to contribute to innovative projects and enhance machine learning operations, this role could be a great fit for you.
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