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Experienced AI/ML Engineer
Permanently remote AI/ML engineer (2-5 yrs experience) who designs, builds, and deploys end-to-end machine learning applications — predictive modeling, forecasting, customer analytics, and fraud detection — for a finance-focused company, using Python plus ML/DL/NLP/GenAI techniques and cloud platforms like AWS or Oracle Cloud.
COORDENADOR ENG. DE MACHINE LEARNING
Leads the MLOps and Data Engineering teams at Banco BBC Digital (Movida's bank) in São Paulo: defines the data/ML platform architecture, engineering standards (CI/CD, IaC), model deployment/monitoring, and infrastructure for generative AI (LLMOps, RAG). Stack includes Python, MLflow/Kubeflow, Docker and Kubernetes.
Quantitative Researcher - Machine Learning
Researches and deploys ML models for forecasting in financial markets, building scalable pipelines and extracting signals from noisy datasets.
Staff Machine Learning Engineer
Leads end-to-end machine learning projects, architecting and deploying AI models to solve business problems while mentoring teams and collaborating with cross-functional partners in a commercial software company.
Sr. Machine Learning Engineer
Senior Machine Learning Engineer designs, implements, and optimizes ML models and pipelines in production, focusing on performance, scalability, and efficiency for Conga's commercial operations platform.
ESPECIALISTA DE ENG. DE MACHINE LEARNING
A data/ML engineering specialist at Banco BBC Digital (Movida's digital bank) in São Paulo, designing the structured data layer for credit-risk analytics: building analytical tables, pipelines and feature stores, and preparing data for generative AI/RAG using Python, SQL, Spark and Airflow.
AI/ML Modeling Team Lead
Leads an AI/ML modeling team building predictive maintenance models for the U.S. Air Force CBM+ program, fusing historical aircraft maintenance records with real-time sensor telematics in the Advana platform to forecast component failures and optimize fleet maintenance. Requires an active DoD Secret clearance and 6+ years in data science/ML.
Consultor em Billing, Inteligência Artificial e Automações
Consultant at Vivo (Brazilian telecom) improving billing/faturamento operations with AI, generative AI, automation and data analytics — mapping processes, building dashboards, POCs and AI agents. Core tech: Python or Java, APIs, microservices, DevOps, Azure AI/OpenAI. Hybrid work in Curitiba or São Paulo.
Senior Machine Learning Engineer
Senior ML Engineer on Mangopay's Data Science team in Warsaw builds and runs ML solutions for fraud prevention (fraudulent payments, identity theft, account takeover) end to end — from data pipelines to production models. Core stack: Python (pandas, NumPy, scikit-learn), SQL, with AWS/SageMaker, Kubernetes and Kafka as nice-to-haves.
Senior Machine Learning Engineer, Discovery Recommendations
Senior ML engineer who designs, builds, and optimizes the recommendation systems powering Fortnite's Discover experience — retrieval, ranking, and reranking models over a fast-changing creator-content catalog, using PyTorch (TorchRec, Transformers), Ray, Databricks, and AWS, with A/B experimentation and ML serving infrastructure. Based in Cary, NC.
Senior Machine Learning Engineer, Discovery Recommendations
Designs, builds, and optimizes the recommendation systems behind Fortnite's Discover experience, working across retrieval, ranking, and real-time reranking for a massive, fast-changing catalog of creator content. Core stack includes PyTorch/TorchRec, Transformers, Ray, Databricks, Spark, and AWS.
Lead Technical Product Manager — Machine Learning Platform
Lead Technical Product Manager shaping the vision, architecture, and multi-year roadmap of N26's central Machine Learning Platform, which powers real-time fraud detection, credit risk scoring, and operational decisioning across the bank. Focus areas: MLOps infrastructure (Kafka, feature stores, model registries, CI/CD) and model governance for European banking compliance.