Machine Learning Engineer, Data Science (México)

Machine Learning Engineer, Data Science (México)

29 ago
|
Solicitud de empleo para Machine Learning Engineer en PALO IT
|
México

29 ago

Solicitud de empleo para Machine Learning Engineer en PALO IT

México

PALO IT is a integral technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. Our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents: We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot. The quality consistently exceeds the output of our best traditional engineering teams. A product repository houses all product artefacts, giving AI full project context for higher-quality generation. A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability. With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.



Your Role As a Semi Senior Machine Learning Engineer, you will play a key role during the early stages of AI/ML product development, focusing on building reliable ML pipelines, improving deployment processes, and ensuring engineering best practices across the machine learning lifecycle. You will collaborate closely with Data Scientists, Cloud Engineers, and Software Engineers to industrialize ML solutions, optimize workflows, and support scalable AI deployments in cloud-native environments. Design, implement, and maintain scalable Machine Learning pipelines using tools such as Kubeflow, Airflow, and MLflow. Support the deployment, monitoring, and optimization of ML models in cloud environments. Build production-grade Python services and reusable ML engineering components. Containerize and orchestrate ML workloads using Docker and Kubernetes. Collaborate with data science teams to transition experiments into robust production

📌 Machine Learning Engineer, Data Science (México)
🏢 Solicitud de empleo para Machine Learning Engineer en PALO IT
📍 México

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