Open to opportunities

Kenza Bou

@kenzabou

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MLOps/Data Engineer deploying production ML solutions and optimizing model-driven video products.

France

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What I'm looking for

I seek a hands-on role building and scaling production ML systems where I can improve model reliability, automate workflows, collaborate cross-functionally, and drive measurable business impact.

I am an MLOps and Data Engineer with hands-on experience deploying transformer-based and computer-vision models to production, optimizing video content features and automating workflows to reduce manual effort.

At Jellysmack I led deployments on Kubernetes and GPUs, shipped the company's first AI-integrated product feature for automated video titles and comments, and helped migrate training to SageMaker pipelines while monitoring serving with Prometheus and Grafana.

I build and maintain infrastructure platforms, orchestrate data and ML jobs on Airflow, and contributed to CI libraries, Argo workflows/events proof-of-concepts, and shared engineering frameworks to improve team productivity.

Earlier, as a Python Developer and Junior PO at Hachette, I delivered data projects including metadata automation, talent and trend detection, Power BI adoption, and computer-vision proofs-of-concept—consistently focusing on practical impact and cross-functional collaboration.