Logo Silent Eight

Forward‑Deployed AI Engineer (LLM/ML) — Investigations & Decisioning

Silent Eightvia Himalayas
RemotoUsSêniorCLT7 dias atrás

Salário Estimado

R$ 12.870,00 - R$ 19.305,00

0de 100

Regular

Score da Vaga

Descrição da Vaga

At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption.


We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC.


Join us and help make the world a safer place! We solve hard, real‑world problems — from uncovering financial crime, fraud patterns and mule networks, through prioritising thousands of alerts, to crafting defendable case narratives.


We work close to users (analysts, investigators, risk/compliance), iterate fast, and deliver in weeks, not quarters.


The adversary adapts — this is an intelligence game, not an academic benchmark.


The Role We’re looking for someone who solves business problems with technology.


Less stack worship, more outcomes: fast risk identification, fewer false positives, faster time‑to‑decision, better explainability, and lower cost per case.


Finance shows up often, but we think broader — investigations, decisions and client value across industries.


What you’ll do • Go to the field: talk to users, shadow their workflows, capture the as‑is → goals & constraints.

Define hypotheses & KPIs (precision/recall, FPR, TAT, coverage, cost/decision) and turn them into experiment plans. • Design decision flows that mix LLMs, retrieval/RAG, classical ML, and lightweight rules; ensure explainability and auditability.
Build quick prototypes (notebook → lightweight service/API) and measure their impact on real data. • Create evaluation sets and scoring rubrics (offline + side‑by‑side + sanity checks + guardrails).
Present findings & recommendations directly to decision‑makers; propose rollout (pilot → production‑lite → scale). • Lead innovation processes across the company; test, promote solutions and mentor others with new AI technologies.

Minimum Requirements • A track record of delivery: 2–3 examples where your AI/ML solution materially improved process KPIs (any industry).

Problem‑solving & communication: you can break down fuzzy problems and explain risks to non‑technical stakeholders. • LLMs + ML in practice: RAG, prompting, tool‑calling; classification/ranking/deduplication; fundamentals of evaluation & experimentation.
Python + SQL sufficient to build a prototype that works and can be maintained. • Polish & English fluency for user conversations and concise write‑ups.

Nice to Have • Experience with investigations / trust & safety / fraud / risk / audit or other complex decision processes.

Graphs/ER: entity resolution, link analysis, pattern‑of‑life. • Light engineering craft: FastAPI, Docker; the rest (K8s/CI/CD/Terraform) is not required.

Our Tech (lightweight) We don’t fetishise the stack.


Common tools: Python, SQL, notebooks/analysis tools, lightweight APIs (e.g., FastAPI), simple stores (e.g., Postgres), and vector indexes.


We choose tools pragmatically — business impact beats heavy infrastructure Note: we don’t expect mastery of “every” tool.


What matters are strong fundamentals, curiosity, and a habit of delivering measurable outcomes.


How We Work A small, seasoned squad.


Weekly goals and regular weekly iterations, a build → measure → learn rhythm.


Minimum ceremony, maximum user contact.


Decisions are captured briefly — in ADRs, tickets, or short notes.


What We Offer • Real influence on decisions in matters that actually count.

Forward‑deployed autonomy — you stay close to the problem and solve it end‑to‑end. • Remote forever - no offices, no commutes... ever

Requisitos

  • Less stack worship, more outcomes: fast risk identification, fewer false positives, faster time‑to‑decision, better explainability, and lower cost per case
  • A track record of delivery: 2–3 examples where your AI/ML solution materially improved process KPIs (any industry)
  • Problem‑solving & communication: you can break down fuzzy problems and explain risks to non‑technical stakeholders
  • LLMs + ML in practice: RAG, prompting, tool‑calling; classification/ranking/deduplication; fundamentals of evaluation & experimentation
  • Python + SQL sufficient to build a prototype that works and can be maintained
  • Polish & English fluency for user conversations and concise write‑ups
  • Experience with investigations / trust & safety / fraud / risk / audit or other complex decision processes
  • Graphs/ER: entity resolution, link analysis, pattern‑of‑life
  • Light engineering craft: FastAPI, Docker; the rest (K8s/CI/CD/Terraform) is not required
  • What matters are strong fundamentals, curiosity, and a habit of delivering measurable outcomes
  • Minimum ceremony, maximum user contact

Responsabilidades

  • We’re looking for someone who solves business problems with technology
  • Go to the field: talk to users, shadow their workflows, capture the as‑is → goals & constraints
  • Define hypotheses & KPIs (precision/recall, FPR, TAT, coverage, cost/decision) and turn them into experiment plans
  • Design decision flows that mix LLMs, retrieval/RAG, classical ML, and lightweight rules; ensure explainability and auditability
  • Build quick prototypes (notebook → lightweight service/API) and measure their impact on real data
  • Create evaluation sets and scoring rubrics (offline + side‑by‑side + sanity checks + guardrails)
  • Present findings & recommendations directly to decision‑makers; propose rollout (pilot → production‑lite → scale)
  • Lead innovation processes across the company; test, promote solutions and mentor others with new AI technologies
  • Weekly goals and regular weekly iterations, a build → measure → learn rhythm

Benefícios

Real influence on decisions in matters that actually count
Forward‑deployed autonomy — you stay close to the problem and solve it end‑to‑end
Remote forever - no offices, no commutes..

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Informações

NívelSênior
ContratoCLT
LocalUs
RemotoSim
MoedaBRL
Publicada7 dias atrás
FonteHimalayas

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