Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals?
Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today's modern clinical environment. Our team values trust, respect, collaboration, agility, and quality.
You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.
Write production-ready Python code and partner with engineering teams to deploy solutions at scale.
Provide technical leadership and mentoring to support high-quality delivery and continuous improvement.
Practical experience in data science, AI,



machine learning, NLP, information retrieval, or a related quantitative field.
Strong Python skills and solid machine learning fundamentals.
Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks.
Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact.
Familiarity with cloud platforms and modern software engineering practices.
With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we'll help you meet your immediate responsibilities and your long-term goals. This is a hybrid role in Mexico City (Reforma). Our teams operate in a adaptable hybrid work model, combining in-person collaboration with remote flexibility. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most produc

📌 Remote Senior Data Scientist (Ciudad de México)
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