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Staff Software Engineer AI, Platform
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the…
Cientifico de Datos (Experiencia con Databricks)
Senior Data Scientist / ML Engineer at Bluetab (an IBM company) in Mexico City, owning the end-to-end analytics lifecycle on Databricks: building large-scale ETL/ELT pipelines with PySpark and SQL, training and deploying predictive models with MLflow, orchestrating retraining/inference via Databricks Workflows, and monitoring models in production.
DevOps Data Platform - Kubernetes & Big Data F/H h/f
DevOps Data Platform - Kubernetes & Big Data F/HDescription de posteBig Data, Data Science, Data analyse, Data architecture, IA ... Ça n'a pas de secret pour vous?Que vous commenciez votre carrière professionnelle ou…
Analista de Dados Sênior | Afirmativa para PCD
Senior data analyst (affirmative opening for candidates with disabilities) at Sem Parar (Corpay) in Pinheiros, São Paulo — hybrid, office 2 days/week. Builds statistical analyses and predictive models (payment propensity, credit recovery, portfolio segmentation) using SQL, Python, PySpark, and Databricks to improve collections and customer service operations.
ML Ops Engineer
Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We’re looking for a hands-on ML Ops Engineer to partner with our data scientists to turn their models into…
Principal Engineer – GenAI Platform (Brazil Based Only)
Principal engineer on Experian's GenAI Platform team, setting architecture, technical standards and governance for enterprise-scale generative-AI solutions built with LLMs, RAG, AI agents and guardrails on AWS/Databricks. Advanced English and Brazil-based work required.
Staff ML/AI Platform Engineer (Databricks)
Staff engineer who designs, builds, and operates Curinos' Databricks-native AI/ML platform — creating CI/CD, infrastructure-as-code, observability, and governance for production ML models, LLM apps, and agentic workflows at a fintech. Core stack: Databricks (Workflows, Unity Catalog, MLflow, Delta), Python/PySpark.
Sr. Software Engineer - Applied AI
Senior engineer on Tealium's Insights team building AI agents and LLM-powered features end-to-end — architecture, RAG, prompt engineering, guardrails, and evaluation — using Python/Java, AWS, and frameworks like LangChain on the company's customer data platform. Application-layer work with existing foundation models, not model training.
Data Scientist Semi Senior / Senior
DRIMO is hiring a semi-senior/senior Data Scientist to embed in an airline client's team in Las Condes, Chile (hybrid, 2 onsite days/week). They design end-to-end analytical and ML solutions, focusing on measuring and experimenting on an MVP that unifies two apps, using SQL, Python, BigQuery, scikit-learn and MLflow.
Databricks Architect
Databricks Architect leading end-to-end design and implementation of cloud data, data engineering, and analytics solutions on Databricks (Delta Lake, MLflow, Spark SQL, Unity Catalog) for corporate clients. Hybrid role (3 office days/2 remote) in Mexico City, Guadalajara, or Monterrey; requires 6+ years' experience and advanced English.
Principal Machine Learning Engineer
Principal ML engineer on Ping Identity's AI & Data Platform team: architects and scales the ML platform behind low-latency identity decisioning, including feature stores, streaming pipelines, and model serving at billions-of-identities scale. Core stack: Python, SQL, Spark, Kafka/Flink, Airflow, MLflow, Kubernetes, AWS.
Machine Learning Engineer
Design, build, and deploy machine learning models for identity verification, fraud detection, and document processing to power CLEAR’s secure identity platform.
Senior DevOps Platform Engineer- CTI
A senior platform/DevOps engineer joins Dream's CTI group to build and run the internal platform behind its cyber threat intelligence products: Kubernetes microservices, AWS and on-prem environments, CI/CD, Terraform, security hardening, observability, and infrastructure for AI/ML workloads at scale.