Imizizi is looking for a Data Scientist to enhance their AI capabilities. This role focuses on building and managing data pipelines to support model training and deployment.
Innovative and tech-focused
At Imizizi, the Data Scientist plays a crucial role in developing AI solutions by managing the data lifecycle. This includes designing and implementing data pipelines that are essential for model training and feature extraction. The team values innovation and is dedicated to building reliable systems that support AI workloads.
In this position, you will be responsible for the end-to-end design of systems that handle data for AI applications. Your daily tasks will involve creating and maintaining ETL processes, ensuring data quality, and optimizing data flows for efficiency. You will also work on model training and inference, which are key components of the AI lifecycle.
This role is ideal for someone with a strong background in data engineering and a passion for AI. You should be comfortable working with complex data systems and have experience in building robust data pipelines. If you enjoy problem-solving and are eager to contribute to innovative projects, this could be the right fit for you.
Key responsibilities include: • Designing and implementing data pipelines for model training • Managing the lifecycle of AI models from training to deployment • Ensuring data quality and reliability in ETL processes • Collaborating with other team members to enhance AI capabilities
To succeed in this role, you should have a solid understanding of data engineering principles and experience with ETL processes. Familiarity with AI workloads and model management will be beneficial. Join Imizizi and help shape the future of AI solutions.
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