
51 - 200 employees
Founded 2023
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Creai is a Mexico City–based AI consultancy and systems builder that designs, develops, and deploys custom, production-ready artificial intelligence solutions to optimize business operations. The company offers end-to-end services including AI transformation assessments, an AI Systems Framework, a Custom Solutions Factory, and Talent-as-a-Service that embeds specialized AI engineers into client teams. Creai focuses on improving decision-making, automating processes, and delivering measurable ROI for enterprise clients across industries such as logistics, retail, and finance.
🕒 March 20
🗣️🇪🇸 Spanish Required
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51 - 200 employees
Founded 2023
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Creai is a Mexico City–based AI consultancy and systems builder that designs, develops, and deploys custom, production-ready artificial intelligence solutions to optimize business operations. The company offers end-to-end services including AI transformation assessments, an AI Systems Framework, a Custom Solutions Factory, and Talent-as-a-Service that embeds specialized AI engineers into client teams. Creai focuses on improving decision-making, automating processes, and delivering measurable ROI for enterprise clients across industries such as logistics, retail, and finance.
• You will lead the development and deployment of scalable, efficient AI models, optimizing performance, scalability, and cost. • You will work closely with data scientists, software engineers, and product managers to integrate AI solutions into larger systems and ensure they are robust, functional, and scalable. • You will analyze large volumes of complex data and develop advanced predictive models that effectively solve client-specific problems. • You will be responsible for the continuous improvement of existing systems, implementing strategies to optimize performance, efficiency, and reliability. • You will integrate AI solutions with cloud platforms (AWS, Google Cloud, Azure), leveraging their capabilities to improve performance and reduce costs. • You will maintain an innovative mindset, researching the latest trends in AI, machine learning, and emerging technologies to apply to current and future projects. • You will document complex technical processes and communicate results and innovations to both technical and non-technical stakeholders.
• Proficiency in Python, Java, or Scala; deep experience with machine learning frameworks such as TensorFlow and PyTorch, and data libraries like pandas and scikit-learn. • Strong experience working with cloud platforms such as AWS, Google Cloud, or Azure, and leveraging their machine learning services. • Expertise in analyzing complex data and building advanced predictive models. • Proven technical leadership skills, with experience guiding and mentoring other engineers. • Ability to collaborate effectively with cross-functional teams and foster a strong technical culture. • Commitment to continuous research and adoption of new technologies to keep Creai at the forefront of AI and machine learning. • Broad understanding of data structures, software design, architecture, and scalability principles. • Ability to communicate clearly in Spanish and English, presenting complex ideas in a way that is understandable to both technical and non-technical audiences. • Focus on delivering high-quality solutions, with rigorous testing and an emphasis on performance and scalability.
• 100% remote work with schedule aligned to CST. • Unlimited PTO: We trust you to manage your time effectively. • Annual development budget: Access to courses, certifications, and conferences. • Equipment budget: Set up your ideal remote workspace. • Semi-annual performance bonuses: We recognize and reward your impact with financial incentives. • Health benefit: Access to private medical coverage or subsidies for health insurance. • Growth opportunities: Career plan and mentorship with experts in AI and technology. • Dynamic, flexible startup environment: Autonomy to make decisions and propose ideas, with a focus on results rather than hours worked. • Work-life balance: A culture that prioritizes flexibility and well-being, allowing you to manage your time without sacrificing your personal life.
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