14 publicaciones de empleo destacadas de machine learning en loreto, dif (¡Están contratando!)

Data Analyst, Supply Chain
Serve Robotics —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Excel
- Administración de personal
- Análisis de datos
Senior Full Stack Engineer – Lab Connect
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- Experiencia en bases de datos
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
Staff I Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
Postulación rápida
9d
Senior Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
Senior Software Engineer
Umba —Ciudad de México, CDMX
- DevOps
- Java
- JavaScript
Postulación rápida
PRACTICANTE MERCADOTECNIA-INTELIGENCIA DE MERCADO
FANDELI —San Jerónimo Tepetlacalco, Méx.
- $3,000 a $3,200 por mes
- Lunes a viernes
- Microsoft Excel
- Mercadotecnia
- Ingeniería
Postulación rápida
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
WordPress Developer / AI Specialist
Growmodo GmbH —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- JavaScript
- HTML
Postulación rápida
Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
11d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Ingeniero/a de Datos Senior (Híbrido)
SimplePractice —Ciudad de México, CDMX
- Informática
- DevOps
- Ingeniería
- Gastos de reubicación
- Seguro dental
Postulación rápida
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
9d

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Personal de Cajas (Coyoacán, Ciudad de México)
BBVA —Coyoacán, CDMX
Tenemos 60 años de historia ofreciendo servicios financieros en más de 30 países y a 76 millones de clientes en todo el mundo. Actividades de cultura y deporte.
$15,952 por mes
Asesoria Digital (Santa fe, Ciudad de México)
BBVA —Cuajimalpa, CDMX
Tenemos 60 años de historia ofreciendo servicios financieros en más de 30 países y a 76 millones de clientes en todo el mundo. Plan de carrera y desarrollo.
$15,952 por mes

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Data Analyst, Supply Chain

Serve Robotics -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

Microsoft Excel
Administración de personal
Big data
Estructura de datos
Análisis de datos
Experiencia en logística
NetSuite
Google Cloud Platform
3PL
E-commerce
SQL
JavaScript
Python

Descripción completa del empleo

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

The Data Analyst drives data management workflows and performs data analysis. This role connects our internal systems with various logistics partners, builds data pipelines, calculates metrics, and creates dashboards & alerts to highlight operational bottlenecks. This position leverages AI tools and frameworks to build faster, create scalable API connections, and manage the data architecture that keeps Serve’s supply chain running.

JOB DUTIES

Develop and manage API-based workflows to ensure seamless communication between our core business platforms and external logistics partners.
Design, build, and maintain automated pipelines to retrieve and route data across various internal and external databases and tools.
Perform hands-on data analysis (e.g., tracking average shipping times, inventory flows, etc.) and build automated spreadsheets and/or dashboards for stakeholders.
Implement error handling, alerting, etc. to ensure data workflows run consistently and accurately.
Partner with Supply Chain, Operations, Finance, and Engineering stakeholders to define KPIs, reporting requirements, and data quality standards across supply chain processes.
Conduct root cause analysis on operational issues and recommend process improvements that reduce cost, improve inventory accuracy, and increase logistics performance.
Create and maintain technical documentation for data models, integrations, workflows, and reporting systems to support long term scalability and knowledge sharing.

EXPERIENCE, QUALIFICATIONS, & SKILLS

Required Experience, Qualifications, and Skills

5 years of hands-on experience in data analysis, data engineering, workflow automation, or similar technical roles.
Strong general knowledge of data structures and data management, both for big data using cloud databases and small data using excel & google sheets.
Advanced knowledge of SQL and at least one other programming language (ideally Python or Javascript).
Proficiency in modern AI-driven development including AI coding tools (e.g., Claude Code, GitHub Copilot, Codex), Model Context Protocol (MCP), configuration of Skills, sub-agents, etc. and familiarity with popular AI orchestration frameworks such as Langgraph, OpenAI API/SDK, Gemini API/SDK, etc.
Experience designing data models and transforming data from multiple operational systems into clean, reliable datasets for reporting and analysis.
Strong analytical and problem solving skills, with the ability to translate complex data into actionable business recommendations for nontechnical stakeholders.
Demonstrated ability to independently manage multiple projects, prioritize competing requests, and deliver high quality work in a fast paced environment.

Preferred Experience, Qualifications, and Skills

Google Cloud Platform (GCP): Specifically Cloud Run, BigQuery, and other supporting services.
Google Workspace / G Suite: Specifically Google Sheets and Google Apps Script.
NetSuite: Specifically working with the NetSuite API.
Supply Chain Tech Experience: Applying these data and technology skills specifically within supply chain, logistics, or e-commerce operations.
Experience working with third party logistics (3PL), fulfillment, inventory management, or transportation management systems.
Familiarity with data observability, monitoring, and data quality frameworks in production environments.

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machine learning empleos en loreto, dif

Data Analyst, Supply Chain

Senior Full Stack Engineer – Lab Connect

Senior Data Engineer

Staff I Data Engineer - CORO Products

Senior Software Development Engineer, Big Data

Senior Software Engineer

PRACTICANTE MERCADOTECNIA-INTELIGENCIA DE MERCADO

Data Engineer II, DASH Device Operations

Senior AI Engineer

WordPress Developer / AI Specialist

Data Engineer Senior with GCP and Python - MX-Any City

AI DevOps Engineer

Ingeniero/a de Datos Senior (Híbrido)

Senior Data Scientist, DTC

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