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Ambush
Ambush
51 – 200 Employees
Skilled Worker Visa SponsorConsultingHealthcareLogistics
Ambush is a people-focused consulting company that helps organizations build and integrate remote design and engineering teams. It provides software development and design services through long-term partnerships, working with clients in areas including healthcare, finance, and privacy. Its approach centers on finding skilled professionals, supporting their retention, and making remote teams work effectively within client organizations.
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Senior Data Scientist and AI Engineer (Brazil, Remote)

Build production machine learning models and LLM applications for Ambush, delivering RAG, multi-agent, and real-time AI solutions for critical client needs.

BRBrazilRemoteFull-timeMiddleSeniorEnglish RequiredData Scientist
OraclePandasPythonScikit-LearnSQL

Description

  • Develop machine learning models and AI solutions for business-critical use cases.
  • Own the modeling lifecycle from data extraction and feature engineering through evaluation, retraining, and real-time deployment.
  • Create production-ready LLM applications, including RAG systems and multi-agent architectures.
  • Investigate model performance issues and choose suitable approaches for each problem.
  • Take initiatives from research and scoping through delivery.
  • Work with stakeholders and engineering teams in the US and India.
  • Lead projects or MVPs from requirements definition through stakeholder alignment and delivery.
  • Present technical work to US clients.
  • Create dashboards and explain results to business audiences.

Requirements

  • Senior-level experience.
  • Strong Python and SQL skills.
  • Practical experience with machine learning tools such as pandas, scikit-learn, XGBoost, LightGBM, or comparable libraries.
  • Experience deploying machine learning models to production, including real-time or low-latency inference.
  • Experience monitoring model drift and improving models in production.
  • Practical knowledge of hyperparameter tuning and feature selection methods, such as Optuna and backward selection.
  • Strong experience building LLM solutions, including agents, multi-agent systems, RAG, and API integrations.
  • Experience leading a project or MVP from requirements or PRD definition through stakeholder alignment.
  • Advanced or fluent English, with confidence presenting technical work to US clients.
  • Familiarity with enterprise platforms such as Oracle, SAP, or Workday and their data models is a plus.
  • Experience in financial services, credit risk, fraud, or large consumer or B2B companies is a plus.
  • Experience creating dashboards and communicating findings to business audiences is a plus.

Benefits

  • People-first company culture.
  • A supportive, trusted, and empowering work environment.
  • A collaborative, team-oriented culture.
  • The chance to work on meaningful products and build lasting partnerships.
  • Exposure to high-caliber engineering, design, strategy, and AI projects.
  • Remote work arrangement.

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