PLEASE REVIEW BELOW DETAILS BEFORE APPLYING!
- 100% REMOTE (must be located in Mexico)
- Full-time employment including all standard regulatory benefits mandated by Mexico government
- *Professional working level English proficiency required, as the role involves regular communication with English‑speaking stakeholders**
JOB OPENINGS:
- We are hiring several Software Engineers: mid-level (3-5+ years) and senior-level (7-10+ years) with at least one of the following tech stacks:
1) Full Stack with Java and React
2) Backend Java AND either Machine Learning OR Data Science
#1) Full Stack (Java/ React) Qualifications:
- Minimum 3-5+ years Full Stack development with backend Java (11+) and React
- Cloud development (GCP preferred but will consider AWS or Azure)
- Experience designing, deploying, and maintaining ENTERPRISE applications in production
- Leveraging AI tools for faster productivity in day-to-day programming
#2) Backend Java with Machine Learning OR Data Science
Qualifications:
- Strong Java engineering background (non-negotiable, primary skill), building & supporting enterprise applications in cloud environments (GCP, AWS, Azure)
- Hands-on experience with Data Science OR Machine Learning (either building the models or deploying and maintaining them) OR experience working very closely with DS/ML Engineers and strong knowledge of the concepts
- Knowledge of concepts such as predictive intelligence, optimization, anomaly detection, classification/ regression/ clustering, etc.
JAVA + DATA SCIENCE:
- Heavier focus on improving decisioning using data analysis and data-driven insights
- Supports model creation, analytics, and visualization
- Work closely with data science workflows (data analysis, model inputs/outputs)
- Strong SQL Server/ querying (stored procedures)
- Python (or R) and Java (they will build out the models for engineers to implement into the and then deploy)
- Visualization experience with dashboards (such as Tableau) a plus
JAVA + MACHINE LEARNING:
- Integrating / deploying ML models into production systems via pipelines
- Support MLOps workflows (deployment, monitoring, maintenance of models)
- Pipelines (Python, Vertex AI) / MLOps: pipelines are largely already built but these engineers will need to be able to make changes/ enhancements to the pipelines
- Collaborate with data scientists and ML engineers to operationalize models
- Contribute to ongoing enhancement of ML-enabled decisioning systems
Compensation is based on a set rate card and therefore determined based on level of experience:
40,000 - 75,000 monthly GROSS salary (MXN)
All statutory benefits, time off, and leave mandated by Mexican government will be provided.
Insight Global