Java Software Engineer (Chihuahua)

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 monthly GROSS salary (MXN) All statutory benefits, time off, and leave mandated by Mexican government will be provided. Postúlate en Kit Empleo: kitempleo.com.mx/empleo/5tiiy1