Director of AI/ML

Jobgether • Mexico

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Lead AI/ML organization, manage multidisciplinary teams, and drive AI solutions in a mission-driven healthcare environment. Translate business needs into scalable AI solutions and oversee the full AI/ML lifecycle. Collaborate with global stakeholders to deliver compliant AI solutions.

Key Highlights

Lead AI/ML organization

Manage multidisciplinary teams

Drive AI solutions in healthcare environment

Key Responsibilities

Lead and manage a multidisciplinary AI/ML organization

Define team structure, hire top talent, and drive performance

Partner with business and functional stakeholders to identify high-value AI use cases

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Technical Skills Required

Machine Learning Artificial Intelligence Data Science Cloud-based AI/ML platforms (AWS, Azure, GCP) LLMs, transformer architectures, RAG systems, and agentic or autonomous AI solutions

Benefits & Perks

Opportunity to lead cutting-edge AI initiatives

Fully remote work model

Leadership role with high visibility

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Nice to Have

Advanced degree (Master’s or PhD) in AI, ML, or related fields

Job Description

This is a high-impact leadership opportunity for an experienced AI/ML executive to shape and scale advanced artificial intelligence capabilities within a mission-driven healthcare technology environment. The role focuses on building and leading multidisciplinary AI teams while driving the end-to-end delivery of machine learning and generative AI solutions that directly improve healthcare outcomes. You will work at the intersection of data science, engineering, and business strategy, translating complex clinical and operational challenges into scalable AI-driven solutions. The position involves close collaboration with global stakeholders across product, engineering, compliance, and executive leadership teams. It is ideal for a strategic and hands-on AI leader who thrives in regulated, high-stakes environments and is passionate about applying cutting-edge AI to meaningful real-world impact. The environment is highly collaborative, innovation-focused, and centered on improving patient care through science and technology.

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