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10 часов назад

Senior AI/ ML Engineer

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico/Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Senior AI ML Engineer (AI Engineering): Architect and develop AI/ML solutions including LLMs and generative AI for healthcare innovations with an accent on responsible AI principles, model evaluation, and production deployment. Focus on designing scalable AI systems, collaborating cross-functionally, and ensuring compliance in regulated environments.

Location: Remote with work from Mexico or Brazil (Mexico City, Sumare)

Company

hirify.global is a medtech product company pioneering innovations at the intersection of health, material, and data science to improve patient lives and support healthcare professionals.

What you will do

  • Architect, design, and develop AI/ML solutions from concept to production deployment.
  • Implement traditional ML models and modern AI techniques including LLMs, generative AI, RAG, and agentic AI systems.
  • Collaborate with product managers, engineers, data scientists, and stakeholders to define scope and success metrics.
  • Build robust, scalable AI systems focusing on accuracy, fairness, explainability, and responsible AI.
  • Develop model evaluation frameworks assessing performance, bias, and resilience.
  • Partner with platform teams to transition prototypes into production and ensure lifecycle management.

Requirements

  • Must be legally authorized to work in Mexico or Brazil without visa sponsorship.
  • Bachelor’s degree or higher in relevant technical field with 5-8 years experience, or High School Diploma with 10 years experience.
  • Proficiency in Python and ML frameworks like PyTorch, TensorFlow, scikit-learn, AWS Bedrock, Azure AI Foundry.
  • Strong software engineering skills and experience building end-to-end ML pipelines.
  • Experience with deep neural networks, model architecture, training, and evaluation.
  • Familiarity with autonomous/multi-agent systems and cloud AI deployment.
  • Professional proficiency in English required.

Nice to have

  • Master’s degree or higher in Computer Science, Machine Learning, AI, or related field.
  • Experience in regulated industries such as healthcare with compliance knowledge.
  • Strong enthusiasm for solving complex AI problems and continuous learning.

Culture & Benefits

  • Remote work with up to 10% travel (domestic/international).
  • Competitive pay benchmarked with similar companies.
  • Equal opportunity employer with inclusive policies.
  • Support for physical and financial well-being.

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