ML Data Infrastructure Engineer — Hybrid/Remote (MLOps)
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Try&Hire is seeking an experienced Data/ML Infrastructure Engineer to own the ML data pipelines and deployment tooling. You will oversee data pools, annotation workflows with partners, and automation for training, evaluation and deployment.
The role emphasizes production-grade Python, AWS S3, Docker, and ML lifecycle tooling, with hybrid work options and potential for a permanent position after a 3–6 month interim period. Proficiency in English; French is a plus.
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