Machine Learning Engineer – Senior

Posted 51ds ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Senior Machine Learning Engineer at Extractta designing and implementing scalable ML pipelines. Collaborating with data scientists and product teams to deliver high-quality solutions.

Responsibilities:

  • Design and implement ML pipelines (training, validation, deployment, and inference) with a focus on scalability and cost.
  • Deploy models to production using MLOps practices (versioning, reproducibility, automation, and performance/drift monitoring).
  • Build and maintain inference services (batch and/or real-time), APIs, and integrations with internal systems.
  • Collaborate with data scientists, analysts, and product teams to translate business needs into solutions.
  • Ensure quality (testing, code reviews, documentation), security, and engineering best practices.
  • Track operational and outcome metrics (SLA, latency, cost, accuracy, business impact).

Requirements:

  • Hands-on experience deploying models to production (end-to-end).
  • Strong programming skills (primarily Python) and software engineering fundamentals (APIs, testing, clean code).
  • Applied ML knowledge (classification, regression, ranking, NLP/LLMs when applicable) and best practices in validation.
  • Experience with data pipelines (SQL and/or orchestration) and integration with data platforms.
  • Experience with cloud and managed services (primarily AWS) and containers (Docker).
  • Familiarity with observability (logs, metrics, and tracing) and model monitoring.
  • Experience with Kubernetes and scalable inference architectures.
  • MLOps tools (e.g., MLflow, feature stores, model registry) and CI/CD.
  • Experience with NLP/LLMs, RAG, and evaluation/observability of model-driven applications.
  • Knowledge of data/AI governance (LGPD, audit trails, explainability when required).
  • Experience in the financial sector (risk, fraud, credit, customer behavior).

Benefits:

  • Meal allowance and/or food voucher
  • Agreement with Sesi and Sesc, providing access to health, wellness, and leisure services
  • Partnerships with educational institutions offering exclusive discounts on courses and programs
  • Opportunities for career growth within the company and participation in strategic projects
  • Opportunity to work at a rapidly expanding company in the market.