Senior AI/ML Engineer (On-Premise + Tabular Data) - Remote …, Chimbote
Senior AI/ML Engineer (On-Premise + Tabular Data) - Remote …, Chimbote
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Chimbote, Perú
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Publicado: hace menos de una semana
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Descripción
The Opportunity Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior AI/ML Engineer (On-Premise + Tabular Data).
- You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis. What We're Looking For
- 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. What We Offer
- 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. Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and integral collaboration. #J-18808-Ljbffr Postúlate en Kit Empleo: kitempleo.pe/empleo/ykjho
- You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis. What We're Looking For
- 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. What We Offer
- 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. Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and integral collaboration. #J-18808-Ljbffr Postúlate en Kit Empleo: kitempleo.pe/empleo/ykjho
Información clave
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Nombre de la empresaFullStack
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Nombre de la vacanteSenior AI/ML Engineer (On-Premise + Tabular Data) - Remote - Latin America (Chimbote)
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