About the Role We are looking for a Data Scientist / Machine Learning Engineer with strong Python and statistical modeling experience to build and deploy production machine learning systems. You will work on anomaly detection systems, computer vision models, and AI agent architectures, helping build scalable ML pipelines and optimized models used in real-world applications. This role is remote, but candidates should be located in Medellín or Colombia for collaboration with the team. Key Responsibilities • Develop and deploy machine learning models in Python • Build anomaly detection systems using statistical and ML techniques • Implement statistical analysis such as z-score, EWMA, and outlier detection • Create and manage datasets for model training and evaluation • Build computer vision models and transformer-based systems • Optimize model performance, latency, and inference • Build Python APIs to serve machine learning models • Implement testing and validation for ML pipelines • Collaborate with engineering teams to deploy models using AWS infrastructure Required Skills • 3–5 years of experience in Data Science, Machine Learning, or AI • Strong Python programming • Experience with scikit-learn • Experience with statistical modeling • Knowledge of z-score, anomaly detection, EWMA, or time-series monitoring • Experience building machine learning datasets • Computer vision experience • Experience with transformer models • Experience working with JSON data • Experience building Python APIs • Git / GitHub workflow • Experience writing tests for ML or data pipelines • Experience working with AWS Nice to Have • Experience with Databricks • Model performance tuning • Experience with AI agents • LangGraph • Redis • MCP (Model Context Protocol) or similar AI infrastructure Tech Stack Python • Scikit-learn • Computer Vision • Transformers • AWS • Databricks • Redis • LangGraph • GitHub • JSON APIs Compensation & Benefits • Salary: COP $4,000,000 – $6,000,000 • Remote work • Work on modern AI agent systems • Opportunity to deploy real-world ML models Tipo de puesto: Tiempo completo Lugar de trabajo: Empleo remoto