Colombia onlyAbout 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
We are seeking a Machine Learning Engineer PART-TIME to design, deploy, and maintain production-grade ML systems operating across multiple cloud platforms. This role blends applied machine learning, data engineering, and software development, with a strong emphasis on scalability, evaluation, and real business impact.
You will work closely with product and engineering teams to turn data and models into reliable, measurable systems used by real users.
Key Responsibilities
- Build and operate end-to-end ML workflows across AWS, GCP, and Azure
- Develop data pipelines supporting both structured and unstructured data
- Integrate ML and LLM-based components into production systems
- Define and track model performance metrics and evaluation frameworks
- Ensure reliability, scalability, and maintainability of ML services
- Collaborate cross-functionally to deliver production-ready solutions
Technical Environment
Python and SQL
Cloud-native ML and data services (AWS, GCP, Azure)
ML frameworks and model APIs
Batch and asynchronous processing pipelines
Monitoring, experimentation, and evaluation tooling
Required Experience
5+ years in machine learning, applied AI, or ML engineering roles
Proven experience deploying ML systems into production
Comfort working across multiple cloud platforms or cloud-agnostic setups
Experience handling unstructured and semi-structured data
Ideal Background
Experience building ML-driven products for external users
Familiarity with ambiguous problem spaces and evolving requirements
Preference for pragmatic, measurable ML over experimental-only work
United States
Argentina
