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Senior Data Scientist (AI)

Формат работы
remote (только Costa_rica)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
CR
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 Data Scientist (AI) (Generative AI/LLM Engineering): Design and deploy AI-powered internal applications, copilots, retrieval pipelines, and statistical and machine learning models with an accent on production-ready GenAI systems, experimentation, and reliable data-driven solutions. Focus on building reusable AI infrastructure, grounding LLM outputs in trusted internal knowledge, and evaluating model quality, accuracy, and consistency.

Location: Remote in Costa Rica

Company

hirify.global provides data management and analytics solutions that help enterprises transform complex data into actionable insights.

What you will do

  • Design, develop, and deploy GenAI-powered internal applications, copilots, and workflow accelerators.
  • Build reusable retrieval pipelines, structured prompting patterns, orchestration workflows, evaluation harnesses, datasets, and feature pipelines.
  • Connect LLMs to trusted internal knowledge sources through grounded retrieval strategies.
  • Develop and maintain statistical and machine learning models for automation, optimization, forecasting, and classification.
  • Partner cross-functionally to identify AI enablement opportunities and document methodologies, assumptions, and implementation details.
  • Uphold quality, reliability, reproducibility, peer review, and responsible AI standards.

Requirements

  • 5+ years of relevant experience in data science, machine learning, or AI-focused roles.
  • Hands-on experience building and shipping LLM-powered applications, internal platforms, or automation solutions.
  • Strong Python or R skills, including data preparation, feature engineering, statistical modeling, and machine learning.
  • Knowledge of probability, statistical inference, experimentation, supervised and unsupervised learning, and quantitative reasoning.
  • Strong SQL and relational database fluency, with experience using data science libraries such as Pandas, NumPy, and scikit-learn.
  • Quantitative academic background in statistics, mathematics, computer science, engineering, economics, or a related discipline; GitHub and collaborative development experience.

Nice to have

  • Experience with vector databases, embedding models, or semantic retrieval systems.
  • Experience designing internal AI platforms or shared enablement frameworks.
  • Familiarity with API-driven architectures and frameworks such as Streamlit, Gradio, or FastAPI.
  • Exposure to responsible AI governance or model lifecycle management.

Culture & Benefits

  • Flexible work-from-home policy.
  • Generous paid time off and designated unplugged days.
  • Mental and physical wellness programs.
  • Phone and internet reimbursement.
  • Career development access, comprehensive benefits, paid volunteer time, and employee resource groups.
  • This role is not eligible for immigration sponsorship.

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