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Data Science Engineer (AI & Simulation) Data Science Engineer (AI & Simulation)

MindTech · Medellín · Remote

3030

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Open 229 days · How we score

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  • Open 229 days

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Data Science Engineer (AI & Simulation) Data Science Engineer (AI & Simulation) at MindTech. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

About Mindtech

Mindtech connects you with global projects and international teams. You will work with high standards, real challenges, and room to grow. We are more than 90 professionals in Latin America and the US, building software from end to end.

About the role

Were hiring a Data Engineer who can bridge

Structured datasets with qualitative, unstructured human responses

Modern LLM tooling (e.g. OpenAI APIs)

Algorithmic thinking, evaluation, and production delivery

This role sits between data science, applied AI, and engineering.

What Youll Work On

  • Analyzing and transforming structured datasets with qualitative human responses
  • Designing algorithms that combine historical data + LLM outputs
  • Building simulation systems across demographics, intent, and experience
  • Working with prompt engineering, tool usage, and multi-step LLM workflows
  • Defining evaluation metrics and benchmarking outputs against real data
  • Shipping production pipelines in collaboration with product and engineering

Tools & Technologies

Python

SQL / PostgreSQL

LLM APIs

Async processing pipelines

Experimentation and evaluation tooling

What Were Looking For

  • 4+ years experience in data engineering, applied ML, or AI engineering
  • Experience working with qualitative, unstructured human-generated data
  • Hands-on experience with LLM APIs in applied systems
  • Ability to design defensible, benchmarkable algorithms
  • Comfort deploying work into production environments
  • Strong communication and collaboration skills

Youll Thrive Here If Youve

  • Built applied AI systems used by real users
  • Combined historical data with model-generated outputs
  • Worked with evolving specs and ambiguous problem spaces
  • Enjoy turning qualitative data into reliable, explainable systems

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