Data Scientist/AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ambush

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Ambush is a People Company that specializes in identifying, retaining, and integrating highly-talented remote designers and engineers into teams across various sectors. With almost a decade of experience, Ambush focuses on building long-term, dedicated partnerships, providing clients with exceptional software development and design services. The company prides itself on its human-centered approach, remote team integration, and commitment to quality, making it a trusted partner for organizations in the financial, medical, and privacy sectors.

📋 Description

• Build machine learning models and AI-powered solutions for business-critical use cases • Manage the end-to-end modeling lifecycle, including data extraction, feature engineering, model evaluation, retraining, and real-time deployment • Design and develop production-ready LLM applications, including RAG systems and multi-agent architectures • Diagnose model performance issues and select appropriate approaches for each problem • Lead initiatives from research and scope definition through delivery • Collaborate with stakeholders and engineering teams across the US and India • Lead projects or MVPs end to end, including requirements definition and stakeholder alignment • Present technical work to US clients • Build dashboards and communicate results to business audiences

🎯 Requirements

• Senior-level experience • Strong Python and SQL skills • Hands-on use of the ML ecosystem, including pandas, scikit-learn, XGBoost, LightGBM or similar • Proven experience taking ML models to production, including real-time or low-latency inference • Experience handling model drift and iterating on models already in production • Hands-on experience with tuning and feature selection techniques, such as Optuna and backward selection • Strong experience building LLM-powered solutions, including agents, multi-agent architectures, RAG systems, and API integrations • Experience leading a project or MVP end to end, including requirements/PRD and stakeholder alignment • Advanced/fluent English and comfort presenting technical work to US clients • Familiarity with enterprise platforms such as Oracle, SAP, or Workday and their data models is nice to have • Experience in financial services, credit risk, fraud, or large consumer/B2B companies is nice to have • Experience building dashboards and communicating results to business audiences is nice to have

🏖️ Benefits

• People-first company culture • Supportive, trusted, and empowered work environment • Collaboration and teamwork culture • Opportunity to work on meaningful products and lasting partnerships • Exposure to strong engineering, design, strategy, and AI projects • Remote work arrangement