20 publicaciones de empleo destacadas de data & machine learning engineer en ciudad de méxico, dif (¡Están contratando!)

Immediate Start - Quant Researcher - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Postulación rápida
FBS MLOps Engineer Manager
Capgemini —Ciudad de México, CDMX
- $1 por año
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Research Engineering Automation
Teradata —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Maestría
- SQL
Senior C++ Systems Engineer – Windows Platform
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- C++
- Desarrollo de software
- Seguro de vida
Software Development Advisor
NTT Ltd —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
Sr. Software Development Engineer (Tech Lead), Devices Sales & Customer Experience
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Java
Senior Software Engineer
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior FullStack Dev
NEXU —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- SQL
Postulación rápida
AI Engineer
Ford Motor Company —Ciudad de México, CDMX
- Informática
- Maestría
- Licenciatura
Customer Engineer, Public Sector
Google —Ciudad de México, CDMX
- Inglés
- Licenciatura
- Sin título de educación superior
14d
Mobile Security Engineer
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Licenciatura
- Sin título de educación superior
- Seguro dental
- Seguro de la vista
Practice Lead
Palo Alto Networks —Ciudad de México, CDMX
- Azure
- Liderazgo
11d
Senior Frontend Engineer (React Native)
Lendable —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Presencial
Senior Product Manager – Technical, Amazon Music Mobile Architecture & Innovation Velocity, Amazon Music - CX Infrastructure
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Maestría
- Gestión de productos
Senior Artificial Intelligence DevOps Engineer
Cotiviti —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Azure
- Informática
Consultor Databricks Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Cloud Architect
HSBC Global Services Limited —Azcapotzalco, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
3d
AI Business Operations Analyst - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Salesforce
- Inglés
- SQL
Senior .Net Developer
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
- Seguro de vida

Quiero recibir la alerta de empleo más reciente para data & machine learning engineer en ciudad de méxico, dif

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Immediate Start - Quant Researcher - Systematic Commodities Hedge Fund

Moreton Capital Partners
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Beneficios

Vacaciones adicionales o permisos con goce de sueldo
Seguro de vida

Cualificaciones

TensorFlow
Estadísticas
Doctorado
Informática
PyTorch
NumPy
Maestría
Pandas
Licenciatura
Estimación y pronóstico
Python

Descripción completa del empleo

Immediate Start - Quant Researcher – Systematic Commodities Hedge Fund

Moreton Capital Partners is rapidly expanding and seeking a talented Quantitative Researcher to join us in our Mexico City office to sit alongside a world class, international team.

This is a high-impact role from day one. You'll take full ownership of designing, testing, and refining the next generation of alpha signals in commodity futures, with your models feeding directly into live trading portfolios. Our research is grounded in advanced machine learning, robust testing frameworks, and deep expertise across global commodity markets.

We're looking for someone ready to hit the ground running and available to start immediately. In return, we offer a competitive salary, substantial performance share, comprehensive benefits, incredible work environment and a relocation package to make the move seamless.

Key Responsibilities

Research, prototype, and validate systematic trading signals across commodities using advanced ML methods.
Design and implement rigorous backtests with realistic frictions, walk-forward validation, and robust statistical tests.
Engineer and evaluate novel features from prices, fundamentals, positioning, options data, and alternative datasets (e.g., satellite, weather and global commodity cash pricing).
Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods.
Develop portfolio construction and optimization techniques and analysis tools to be able to enhance performance and track effects on portfolio execution.
Collaborate with developers to transition research into production-ready strategies.
Monitor live performance, attribution, and model drift, ensuring continual improvement of the alpha library.

Requirements

Masters or PhD in either Statistics, Economics, Computer Science.

Strong background in machine learning and statistical modelling (tree-based models, regularization, time-series ML).
Proficiency in Python (pandas, NumPy, scikit-learn, XGboost, PyTorch/TensorFlow).
Understanding of time-series forecasting, cross-validation techniques, and avoiding look-ahead bias.
Academic experience in research and proven ability to translate academic work to production code.
Prior exposure to systematic trading or financial modelling.
Ability to design experiments, interpret results, and iterate quickly in a research environment.

Bonus points for:

Knowledge of commodities (agriculture, energy, metals) or macro markets.
Experience with feature engineering on non-traditional datasets (options positioning, weather, satellite).
Experience collaborating in version control environments.
Familiarity with portfolio optimization, risk parity, or Bayesian model averaging.
Publications, Kaggle competitions, or research track record demonstrating applied ML excellence.

Benefits

Direct impact: Your alphas will go live into production portfolios, with real capital behind them.
Research-first culture: We value deep thinking, novel approaches, and systematic rigor.
Close collaboration across a global team.
Career growth: Clear trajectory to senior researcher roles as we scale AUM and expand product lines.
Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.
Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off.
Positive, inclusive and encouraging work environment.

Postulación rápida

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data & machine learning engineer empleos en ciudad de méxico, dif

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Quiero recibir la alerta de empleo más reciente para data & machine learning engineer en ciudad de méxico, dif

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