Build and deploy machine learning models to support business and product decisions.
Develop Python-based data pipelines and ETL workflows.
Work with Azure ML, Databricks, and cloud-based data platforms.
Use embeddings, LLM APIs, and vector search techniques when applicable.
Analyze, clean, and structure large datasets for modeling.
Collaborate with cross-functional teams to define data requirements.
Monitor model performance and retrain as needed.
Support automation and data ingestion (scraping, batch pipelines).
Present findings and recommendations to technical and non-technical stakeholders.
3–6+ years of experience as a Data Scientist or ML Engineer.
Strong expertise in
Python
(Pandas, NumPy, scikit-learn).
Experience with
Azure ML
, Databricks, or similar cloud ML platforms.
Solid skills in
SQL
, data modeling, and ETL pipelines.
Experience working with embeddings, AI APIs (OpenAI, Anthropic), or vector databases (preferred).
Ability to deploy and maintain ML models in production.
Familiarity with data scraping and automation tools.
Strong communication and analytical skills.
English B2+
We are a young and growing company, with operations in Medellin and Bogota, focused on the generation of technological solutions in synergy with our customers and our team so that these solutions add value within their organizations and their business processes.
