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Design and maintain cloud-native applications and microservices primarily in Python on AWS, while collaborating with teams for backend and frontend integration.

Lead enterprise-scale cloud and data modernization initiatives, assessing and planning migrations across data, applications, and cloud platforms for clients, ensuring alignment with business goals.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

Design, develop, and deploy time-series and machine-learning forecasting models (ARIMA, SARIMA, ETS, XGBoost, LightGBM) for demand planning, inventory, and sales forecasting. Perform large-scale SQL data processing, operationalize models in cloud environments (Azure preferred), present insights, and lead client workshops.

The Senior DevOps Engineer will develop and maintain automation solutions, support network design, ensure high availability, improve monitoring, and handle incident management.

Own end-to-end recruiting for Mexico: source, screen, schedule interviews, maintain ATS and candidate pipelines, manage offers/negotiations, and partner with external agencies to hire data science, analytics, and engineering talent.

Lead architecture, design, and delivery of enterprise-scale Agentic AI solutions. Oversee multiple engineering pods, mentor teams, manage client-facing architecture discussions, ensure production-grade MLOps, cloud infrastructure, microservices, observability, and adoption of emerging AI technologies.

Design and implement scalable, secure Azure-native data and AI solutions. Architect end-to-end data platforms, ETL/ELT pipelines, data governance, and integrate AI/ML into business processes while mentoring teams and ensuring best practices.

Design and build large-scale ETL/ELT pipelines and analytical architectures on GCP. Assess, plan, and drive enterprise data and cloud migration programs, modernize legacy systems, optimize query performance, and enable scalable cloud-native solutions for clients.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.