Senior AI/ML Engineer (On-Premise + Tabular Data) - Remote - Latin America
Indexed description
We’re Most Proud Of
- Offering life-changing opportunities for talented software professionals across the Americas.
- Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
- Our 4.2-star rating on GlassDoor.
- Our client Net Promoter Score of 68, twice the industry average.
- You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
- 5+ years of professional AI/ML engineering experience.
- Advanced English is required.
- Successful completion of a four-year college degree is required.
- Proven experience building and validating supervised learning models on large-scale tabular datasets.
- Demonstrated experience extracting predictive signals and performing feature engineering on raw transactional data.
- Track record of designing rigorous back-testing frameworks to verify model accuracy against historical project outcomes.
- Hands-on experience profiling, cleaning, and normalizing messy enterprise data within PostgreSQL environments.
- Solid background in deploying containerized models (Docker/ONNX) within on-premise or air-gapped infrastructures.
- Expertise in ensemble methods such as XGBoost, LightGBM, and CatBoost for high-stakes regression tasks.
- Adept at balancing CPU vs. GPU inference tradeoffs to optimize performance in private cloud environments.
- Well-versed in the architectural constraints of building AI systems without reliance on cloud-native services.
- Skilled at translating complex model outputs into actionable ROI and cost-estimation insights.
- Ability to work through new and difficult issues and contribute to libraries as needed.
- Ability to create and maintain continuous integration and delivery of applications.
- Forensic attention to detail.
- A positive mindset and a can-do attitude.
- Experience working on Agile / Scrum teams.
- Meaningful experience working on large, complex systems.
- Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
- Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
- Ability to consistently work 40 hours per week.
- Competitive pay.
- 100% remote work.
- The ability to work with leading startups and Fortune 500 companies.
- Continuing education opportunities.
- Opportunity to grow and expand your career.
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