20 publicaciones de empleo destacadas de data scientist, applied ai remote en guadalajara, jal (¡Están contratando!)

Sr Data Scientist (LATAM Remote)
UP.Labs —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Python
Python Engineer (Remote anywhere in México)
Capgemini —Guadalajara, Jal.
- Home Office (Desde casa)
- SQL
- Python
Python Engineer (Remote anywhere in México)
Capgemini Sogeti —Guadalajara, Jal.
- Home Office (Desde casa)
- SQL
- Python
10h
Angular Full Stack Developer - Remote
Capgemini —Guadalajara, Jal.
- Home Office (Desde casa)
- Inglés
- Java
- JavaScript
Data Engineer (Azure) - Remote, Latin America
Bluelight Consulting —Zapopan, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
Sr AI/ML Engineer (LATAM Remote)
UP.Labs —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Experiencia en bases de datos
- Experiencia en manufactura
Design Engineer (Instrument Panel & Console Floor) - Remote
Capgemini —Guadalajara, Jal.
- Home Office (Desde casa)
- CAD
- Inglés
- Licenciatura
Software Engineer, Data Infrastructure & Acquisition - Guadalajara, Mexico
Speechify —Guadalajara, Jal.
- Home Office (Desde casa)
- Doctorado
- Informática
- Maestría
3d
Agentic AI Solutions Architect - Remote, Latin America
Bluelight Consulting —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Lead Data Scientist, Marketing Advanced Analytics
HP —Tlaquepaque, Jal.
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Doctorado
Tech Lead Mobile (Android & iOS) - Remote anywhere in México
Capgemini —Guadalajara, Jal.
- Home Office (Desde casa)
- Java
- JavaScript
Senior Data Scientist (Hybrid Guadalajara)
Insulet Corporation —Guadalajara, Jal.
- Tiempo completo
- Oracle
- Doctorado
- Informática
Pathfinding Senior Design Layout Engineer
Micron —Tlaquepaque, Jal.
- Maestría
- Licenciatura
- Sin título de educación superior
Sr. Full Stack Engineering
Bizee Powered by Incfile —Puerta Aqua, Jal.
- $50,000 a $60,000 por mes
- Tiempo completo
- Informática
- Inglés
- Java
- Estacionamiento gratuito
- Descuento de gimnasio
Postulación rápida
NCG Pathfinding Design Layout Engineer
Micron —Tlaquepaque, Jal.
- Maestría
- Licenciatura
- Capacitación
Java Developer Mid (Remote anywhere in México)
Capgemini Sogeti —Guadalajara, Jal.
- Home Office (Desde casa)
- Java
- SQL
- JavaScript
10h
Java Developer Mid (Remote anywhere in México)
Capgemini —Guadalajara, Jal.
- Home Office (Desde casa)
- Java
- SQL
- JavaScript
10d
iOS Developer (Remote anywhere in México)
Capgemini —Guadalajara, Jal.
- Home Office (Desde casa)
- Azure
- Java
- JavaScript
Automotive Cost Engineer (Interiors) - Remote
Capgemini —Guadalajara, Jal.
- Home Office (Desde casa)
- Inglés
- Licenciatura
Automotive Cost Engineer (Seats Components) - Remote
Capgemini —Guadalajara, Jal.
- Home Office (Desde casa)
- Inglés
- Licenciatura

Quiero recibir la alerta de empleo más reciente para data scientist, applied ai remote en guadalajara, jal

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Sr Data Scientist (LATAM Remote)

UP.Labs
Guadalajara, Jal.

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Información del empleo

Tiempo completo

Cualificaciones

TensorFlow
Azure
Kubernetes
PyTorch
Tooling
Big data
Spark
Google Cloud Platform
SQL
Docker
Python

Descripción completa del empleo

Sr Data Scientist (LATAM Remote)

Remote • Guadalajara

Engineering

Remote

Full-time

Overview:

UPLabs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We're seeking an applied data scientist who ships data products as an engineer, to help us launch the next wave of AI-enabled ventures.

This is a hands-on role for someone who can take a problem from data to deployed, monitored data product, with strong statistical judgment along the way.

Technical Challenge:

In this role, you’ll work with large-scale datasets to build scalable machine learning systems and intelligent data platforms. You’ll help define how data is stored, processed, referenced, and utilized across AI workflows and operational systems.

You’ll collaborate closely with engineering, operations, and product teams to build production-grade ML solutions while contributing to architectural decisions around modern data infrastructure.

This is a highly hands-on role with strong ownership and technical influence.

In This Role, You Will

Apply statistical and machine learning methods to operationally meaningful problems.
Build and refine digital twins and predictive models of physical assets, processes, and operational workflows.
Work across hybrid data estates that span on-prem operational systems and modern cloud platforms.
Use modern ML frameworks (PyTorch, TensorFlow) where they earn their place, and simpler tools where they don't.
Run rigorous, reproducible experimentation using tools like MLflow.
Work with large-scale structured and unstructured datasets in Snowflake environments
Develop and maintain scalable data pipelines, ETL/ELT workflows, and ML infrastructure
Design systems for storing, processing, and managing ML outputs, embeddings, and AI-generated data
Collaborate with cross-functional teams to translate business problems into scalable data solutions

Required Skills & Expertise

Hands-on experience in Data Science, Machine Learning, or ML Engineering roles in Big Data environments
Strong applied statistics: experimental design, inference, uncertainty quantification, and a working sense of when a result is real versus an artifact of the data.
Strong Python and SQL fluency, including comfort with modern distributed SQL engines (e.g., Trino, Spark SQL, or similar).
Comfort working across hybrid data environments spanning on-prem operational sources and modern cloud platforms (AWS, Azure, or GCP).
Experience with the full ML lifecycle: ingestion, transformation, feature engineering, training, evaluation, deployment, and monitoring.
Practical experience with modern ML frameworks (PyTorch or TensorFlow) and experiment tracking tooling (MLflow or comparable).
Strong problem-solving skills and ability to work in fast-paced startup environments
Experience working with Snowflake in production data environments.

Nice to Have

Experience delivering models as containerized services like Docker and Kubernetes
Direct experience with digital twins or applied modeling of physical / operational systems.
Time-series, sensor, or streaming data at production scale.
Open lakehouse formats (Iceberg, Delta, Hudi) and table-format-aware workflows.
Causal inference, A/B testing, or sequential evaluation
Edge or hybrid model deployment patterns.
Experience with Databricks or comparable platforms.

UP.Labs Summary

We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.

We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture's life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business.

Location: Remote

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Quiero recibir la alerta de empleo más reciente para data scientist, applied ai remote en guadalajara, jal

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data scientist, applied ai remote empleos en guadalajara, jal

Quiero recibir la alerta de empleo más reciente para data scientist, applied ai remote en guadalajara, jal

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