Mexico
Concesionaria Vuela Compañía de Aviación S.A.P.I
DaCodes
Machine Learning Engineer (Semi-Senior / Senior)
RemoteMexico
Mexico
PythonSQLAWS
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About the opportunity
Work at DaCodes!
We are a high-impact digital transformation and software firm.
For 10 years, we have created solutions focused on technology and innovation thanks to our team of nearly 300 talented #DaCoders: developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients from all over LATAM and the United States, delivering outstanding results.
About the role
At DaCodes, you will have the opportunity to accelerate your professional growth, work on diverse projects across different industries, and contribute to the design, implementation, and optimization of cutting-edge technological solutions.
Our DaCoders have a significant impact on the success of our business and that of our clients. You will be the expert participating in our projects, with access to disruptive startups and global brands.
Are you interested?
We are looking for a Semi-Senior or Senior Machine Learning Engineer to join, through DaCodes under a staff augmentation scheme, the AI/ML team of an ad-tech startup based in Argentina with a 100% remote operation, focused on building a next-generation infrastructure layer for intelligent mobile app monetization. This platform functions as a monetization “control plane”: it integrates on top of the mediation platforms that apps already use (like AppLovin MAX, Unity LevelPlay, and AdMob) and coordinates demand sources, user cohorts, placements, and monetization rules in real-time.
The main focus of the role is on machine learning: models that predict user behavior and the advertising market, and that act on those predictions in real-time. You will also collaborate on generative AI initiatives, such as an LLM agent that helps the advertising operations team and clients operate their monetization.
We are looking for a proactive profile, who adapts well to a non-hierarchical environment with requirements that are not always perfectly structured.
Responsibilities
- Build and deploy predictive models (e.g., user churn, lifetime value, and payer propensity), from exploration in Databricks to real-time serving within the advertising mediation stack.
- Develop and maintain ML pipelines in production using Airflow, Spark/Databricks, and AWS, including training, validation gates, and model promotion.
- Monitor models in production (calibration, drift, and business impact) and measure that impact through A/B tests.
- Collaborate on generative AI initiatives, including integrations with internal analytics APIs and configuration, evaluation sets, observability, and human-in-the-loop controls.
- Contribute to AI-assisted software development, building tools and context for coding agents to work effectively on the codebase.
- Collaborate with cross-functional teams (Data Engineering, Backend, SDK, AdOps, and Product) to turn models into product features.
Minimum requirements
- Proven experience (3+ years) as a Machine Learning Engineer, Data Scientist, or in a similar role, including having taken models to production and maintained them there.
- Proficiency in Python and SQL, including the Python scientific stack (pandas or Polars, scikit-learn).
- Experience with different types of models (classification, regression, ranking) and the judgment to choose the most appropriate one for the problem.
- Solid foundation in statistics: probability calibration, imbalanced classification, evaluation metrics beyond accuracy, and A/B testing.
- Hands-on experience working with LLMs: tool calling, prompt design, evaluation of agent outputs, and daily use of coding agents.
- Familiarity with data platforms, particularly Spark/Databricks, Airflow, and AWS.
- Problem-solving and troubleshooting skills for models and data in production.
- Strong learning motivation and ownership of results: ability to quickly learn new domains and tools, and to sustain effort until the objective is achieved.
- For Senior level, 5+ years of experience and a track record of leading end-to-end initiatives (from defining the problem to measuring its impact in production), as well as guiding technical decisions and mentoring other engineers are also expected.
Desirable (not exclusionary)
- Experience in AdTech, mobile games, or app monetization.
- Basic knowledge of reinforcement learning techniques, such as multi-armed and contextual bandits.
- Experience with agent frameworks like Pydantic AI or LangGraph, or with Model Context Protocol (MCP).
Conditions
Modality: Full time
Location: 100% remote, open to any country in Latin America.
Schedule: a minimum of 4-5 hours of overlap with GMT-3 is required.
Language: Fluent Spanish indispensable.
- 🚀 Integration into global brands and disruptive startups.
- 🏡 Remote work/Home office.
- 📍 In case a hybrid or in-person modality is required, you will be informed from the first session.
- ⏳ Schedule adjusted to the work cell/assigned project.
- 📅 Work from Monday to Friday.
- 🎓 Access to courses and certifications.
- 📡 Virtual integration events and interest groups.
- 📢 English classes.
- 🏆 Opportunities within our different business lines.
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