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Build and refine the core AI-powered matching engine that connects researchers with 4M+ participants, using semantic search, ranking algorithms, and pragmatic ML to improve relevance and conversion.
Build and deploy AI/ML models for predictive maintenance using time-series sensor data to reduce equipment downtime in industrial and smart-infrastructure settings.
Build, train, and deploy AI/ML models (e.g., time-series, CV, NLP) to solve business problems, then monitor and iterate them in production with MLOps tooling.
Build and deploy AI features like LLMs and predictive models, writing clean Python code and collaborating with cross-functional teams in a fast-paced startup.
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, focusing on healthcare data pipelines and ETL/ELT workflows.
Build and own a new HR data warehouse, then transition into analytics to help HR teams make data-driven workforce decisions using SQL, Python, and cloud pipelines.
Build and maintain scalable data pipelines, integrate systems, and improve data quality for analytics and modeling in a cloud or data-lake environment.
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, migrating and modernizing healthcare data pipelines and ETL workflows.
Designs and maintains cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Build and maintain scalable data systems, design ETL/ELT pipelines, and optimize data quality using AWS, Python, SQL, and Spark for analytics and ML workloads.
Lead a team to design, build, and deploy AI models for Saudi Aramco’s business units, turning data into predictive insights and production-ready solutions.
Build predictive models and dashboards for banking and government clients using Python, SQL, and Power BI to turn raw data into actionable insights.
Build and deploy ML/AI models (regression, classification, deep learning, LLMs) for business use cases, integrate outputs into Power BI dashboards, and productionize solutions for clients.
Design and deploy AI/ML models (predictive, NLP, computer vision) for enterprise use cases, collaborating with stakeholders to deliver end-to-end analytics solutions on large-scale data.
Build data pipelines, predictive models, and Power BI reports to track productivity and savings, collaborating with senior data staff to inform business decisions.
Lead data platforms, reporting, and predictive modeling to drive business insights and guide leadership decisions in a hybrid role based in Monterrey.
Build and deploy ML models for predictive maintenance and energy optimization using Python, FastAPI, and Azure ML in ETAP’s electrical digital twin platform.
Job Category Software Engineering Job Details Principal Agentic Data Systems Engineer – Mexico City | Hybrid About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here,…
Lead Data Systems Engineer Mexico City | Full-Time Hybrid Department Overview The Enterprise Data & AI Solutions group is the organization’s strategic hub for cognitive automation. We move beyond traditional data…
Senior Data Engineer at PwC Mexico builds data pipelines and models to turn large datasets into insights for tax and advisory clients, mentoring peers in a collaborative environment.
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