Insight GlobalPLEASE 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.
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