обновлено 20 часов назад
Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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