Renuity is looking to design, build, and deploy production-ready ML and deep learning solutions that deliver measurable business impact.
Requirements
- Expertise in both Python and SQL coding (other coding languages such as Java, C, etc. are a plus)
- Experience with at least one major cloud platform (Azure is preferred; GCP, AWS are also acceptable) and production logging/monitoring practices.
- Strong software engineering skills (building services/APIs, code reviews, testing, CI/CD familiarity).
- 6+ years of experience in applied machine learning, with clear examples of models shipped to production.
Responsibilities
- Deliver end-to-end ML/DL solutions that drive measurable outcomes (conversion lift, cost reduction, improved forecasting accuracy, etc.).
- Build, test, and deploy ML services and applications that integrate with core systems (e.g., CRM, call center tooling, scheduling, reporting).
- Implement reliable production practices: monitoring, alerts, model performance tracking, and continuous retraining/iteration when needed.
- Improve data readiness by partnering with analytics/data engineering to define data requirements, quality checks, and reusable datasets.
- Contribute to team standards for documentation, code quality, and responsible AI practices.
- Partner with business and product stakeholders to define success metrics, scope solutions, and ensure adoption in day-to-day workflows.
Other
- Master’s degree in a related field (e.g., Computer Science, Data Science, Statistics, Applied Mathematics, Engineering) or equivalent practical experience with demonstrated production delivery.
- Demonstrated ability to translate ambiguous business problems into practical, measurable solutions.
- Comfortable working cross-functionally with Product, Engineering, Operations, and business leaders.
