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1 месяц назад

Senior Data Scientist (AI)

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

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TL;DR

Senior Data Scientist (AI/ML): Designing, developing, and deploying end-to-end data science solutions with an accent on Computer Vision and Generative AI. Focus on building scalable AI systems, implementing RAG pipelines, and optimizing ML models for production environments.

Location: Colombia or Mexico

Company

hirify.global is a digital accelerator and partner for large global companies, operating as a multicultural organization across 11 countries.

What you will do

  • Design and deploy end-to-end ML models, including preprocessing, feature engineering, and performance optimization.
  • Develop computer vision solutions for object detection, classification, and segmentation.
  • Build GenAI applications using LLMs, prompt engineering, embeddings, and RAG pipelines.
  • Integrate AI/ML models into production systems via APIs and backend services.
  • Collaborate with engineering teams to build scalable data pipelines using MLOps practices.
  • Mentor junior team members and translate technical findings into actionable business insights.

Requirements

  • 5+ years of experience in Data Science, Machine Learning, or AI.
  • Strong proficiency in Python and SQL for large-scale data analysis.
  • Hands-on experience with scikit-learn, TensorFlow, or PyTorch.
  • Proven experience in developing and deploying computer vision and LLM-based architectures.
  • Experience with data processing or streaming pipelines (e.g., Spark, Apache Beam, Google Cloud Dataflow).
  • English proficiency: B2+ or higher required.

Nice to have

  • Experience with cloud platforms (GCP, AWS, or Azure) and MLOps tools (Docker, Kubernetes, MLflow).
  • Familiarity with GenAI frameworks like LangChain, LlamaIndex, or ADK.
  • Experience in Agile environments and version control with Git.

Culture & Benefits

  • Statutory and major benefits.
  • Competitive salary and attractive benefits plan.
  • Focus on personal growth and continuous learning.
  • Multicultural startup culture promoting innovation.

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