Job Description
We are seeking a Data Scientist with hands-on experience building, deploying, and maintaining production machine learning solutions in a cloud environment. This role will develop scalable ML models, improve the data pipelines that support them, and collaborate with engineering and business stakeholders to deliver data-driven solutions.
This is a contract role supporting a remote, cross-functional team. The successful candidate must have experience taking machine learning models beyond notebook-based development and supporting them in live production environments.
Enterprise Experience Strongly Preferred.
Key Responsibilities
Develop, deploy, and maintain machine learning models in production environments.
Perform exploratory data analysis to identify patterns, opportunities, and modeling approaches.
Conduct feature engineering and prepare data for machine learning workflows.
Build and improve data pipelines supporting model development, deployment, and maintenance.
Monitor production models and help address performance or operational issues.
Collaborate with engineering and business stakeholders to translate business needs into scalable machine learning solutions.
Use version-control and collaborative development practices to manage production code.
Work independently while communicating progress, risks, and technical findings clearly.
Contribute to LLM- or AI-agent-based capabilities where applicable.
Qualifications
Must-Have Skills
At least 2 years of experience building and maintaining production machine learning models.
Strong Python programming skills.
Advanced SQL skills.
Experience deploying machine learning models into production.
Experience monitoring or maintaining models after production deployment.
Experience with AWS SageMaker or another enterprise machine learning platform, such as Vertex AI or Azure Machine Learning.
Experience supporting production machine learning pipelines.
Experience with Git or another version-control syst
📌 #127006 - Data Scientist - Production Machine Learning (Bogotá)
🏢 Upwork
📍 Bogotá