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Agentic Academy is seeking a Machine Learning Engineer for a fully remote role. You will design, develop, train, and evaluate ML models powering data-driven features and products across the full lifecycle—from data collection to deployment and monitoring.
You will collaborate with data scientists, software engineers, and product stakeholders to translate business problems into scalable ML solutions, build robust pipelines, and optimize models for production performance and reliability.
We are seeking a Machine Learning Engineer to join our team in a fully remote capacity. In this role, you will design, develop, train, and evaluate machine learning models that power intelligent features and data-driven products. You will work across the full ML lifecycle, from data collection and feature engineering through model deployment and monitoring.
You will collaborate with data scientists, software engineers, and product stakeholders to translate business problems into scalable machine learning solutions. The role involves building robust pipelines, experimenting with algorithms, and optimizing models for performance and reliability in production environments.
This is a remote position, offering flexibility to work from anywhere while contributing to impactful AI-driven initiatives. You will be part of a growing team focused on delivering high-quality machine learning systems that create measurable business value.
If you are passionate about applied machine learning and enjoy solving complex problems at scale, we encourage you to apply.