Job Description
About NewCombin
Our name, NewCombin, refers to the “new combination” between professionals with extensive experience and experience with those young people with a strong disruptive imprint.
It is no coincidence: Marcelo, Nicolás and Ian, the founding partners, are a father, a son and a friend united by the ambition to empower organizations through technology.
Since 2017 we have sought to merge these characteristics into our professional profiles to provide unique and quality solutions to our clients, so that we can mutually nurture each other and learn together along the way.
If you are interested in taking a challenge that:
- Allows you to work with multiple industries and learn from each of them
- Boosts your English by working with teams located around the world
- Allows you to see the direct impact of your work on the users of the solution you created…
This position is for you!
In this role, you’ll get to:
- Design, build, deploy, and iterate on end-to-end data and ML solutions
- Develop scalable data pipelines and transformation workflows
- Implement data quality checks, validation, and monitoring processes
- Design evaluation frameworks for datasets and ML model outputs
- Deploy lightweight ML/LLM solutions for operational use cases
- Integrate APIs and internal/external systems
- Automate workflows to improve efficiency, repeatability, and delivery speed
- Debug production workflows and improve operational tooling
- Document and package production datasets following QA standards
We are looking for you if you
- Have 5+ years of experience in data engineering or ML engineering
- Have strong proficiency in Python and SQL
- Have experience with data tools such as pandas, Plotly, Streamlit, and Dash
- Have hands-on experience with LLMs
- Have experience deploying ML solutions in production
- Have experience integrating APIs and technical systems
- Have the ability to design, build, deploy, and iterate on end-to-end solutions
- Are fluent in English, both spoken and written (direct interaction with end users).
- Are based in LATAM
Desirable skills
- Experience building scalable data pipelines and transformation workflows
- Experience implementing data quality checks, validation, and monitoring processes
- Experience designing evaluation frameworks for datasets and ML outputs
- Experience packaging production datasets with documentation and QA standards
- Experience developing ML-assisted tools and synthetic data workflows
- Experience deploying lightweight ML/LLM solutions for operational use cases
We offer
- Excellent work environment
- 100% remote
- Long-term relationship
- Opportunity to work with global teams