13 publicaciones de empleo destacadas de machine learning engineer technical en monterrey, nle (¡Están contratando!)

Machine Learning Engineer-Technical Lead
Clarios —San Pedro Garza García, N. L.
- Tiempo completo
- Informática
- SQL
- Licenciatura
Machine Learning Engineer
Corning —Obispado, N. L.
- Informática
- DevOps
- Inglés
App Support Engineer - MX-Monterrey
Globant —Monterrey, N. L.
- Azure
- Administración de personal
- DevOps
Senior Technical Architect
GM Financial —Monterrey, N. L.
- Tiempo completo
- Azure
- Salesforce
- Servicios financieros
- Seguro de vida
Sr. AI Engineer
Johnson Controls —San Pedro Garza García, N. L.
- Tiempo completo
- Azure
- Experiencia en bases de datos
- SQL
14d
Design Engineer
Terex Corporation —Monterrey, N. L.
- Tiempo completo
- Inglés
- Plan de adquisición de acciones empresariales
Sr Data Analytics Engineer
Corning —Apodaca, N. L.
- Azure
- ERP systems
- Maestría
Sr. Machine Learning Engineer
Corning —Obispado, N. L.
- Informática
- DevOps
- Inglés
Data Engineer
Corning —Obispado, N. L.
- Azure
- Informática
- Experiencia en bases de datos
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Training Program Manager, AI-First PM Training
First Principles —Monterrey, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Licenciatura
Postulación rápida
11d
AI Solutions Intern (3–6 Month Internship)
Nexaminds —Monterrey, N. L.
- Azure
- Informática
- Java
Postulación rápida
Data Scientist
Clarios —San Pedro Garza García, N. L.
- Tiempo completo
- Azure
- Informática
- Maestría
Process Automation Supervisor
Corning —Apodaca, N. L.
- Inglés
- C++
- Controlador Lógico Programable
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo

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Machine Learning Engineer-Technical Lead
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Solid understanding of core ML/AI algorithms: supervised and unsupervised learning, classification, regression, clustering, and deep learning techniques.
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Machine Learning Engineer-Technical Lead

Clarios -
San Pedro Garza García, N. L.

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Información del empleo

Tiempo completo

Cualificaciones

TensorFlow
Informática
Ingeniería de software
Procesamiento de señales digitales
Internet de las cosas
Kubernetes
PyTorch
Algoritmos
SQL
Docker
Licenciatura
OEM
Python

Descripción completa del empleo

The Role

We are looking for a seasoned Machine Learning Engineer with strong leadership capabilities to join the Connected Services AIML team as a Technical Lead. You will architect and implement the algorithmic solutions that power our industrial IoT platform, while guiding a team of engineers and scientists to deliver high-impact, production-grade systems — turning large-scale sensor data into intelligence that keeps connected assets running.

What You’ll Do (Impact Areas)

Architect & deploy ML solutions: design and deploy models for predictive maintenance, anomaly detection, asset optimization, and time-series forecasting using large-scale sensor data from connected devices.
Build production infrastructure: develop robust data pipelines and real-time inference systems integrated with edge and cloud infrastructure.
Lead technical execution: own the end-to-end delivery of ML projects, from ideation to deployment.
Mentor & set the standard: guide a team of ML and software engineers; define and enforce best practices in model development, testing, and deployment.
Partner cross-functionally: work with product managers and domain experts to align technical solutions with business goals.

What Success Looks Like

Production-grade models for predictive maintenance and anomaly detection deployed and reliably serving real-time inference at scale.
Robust, well-documented pipelines moving sensor data from edge to cloud with minimal latency and downtime.
A high-performing ML and software engineering team operating against clear, enforced best practices.
Technical roadmaps that map directly to business outcomes and are delivered on time, from ideation to deployment.

Core Competencies

Technical leadership and end-to-end project ownership in a production environment.
Strong ML/AI foundations: supervised and unsupervised learning, classification, regression, clustering, and deep learning.
Production engineering mindset: data pipelines, real-time inference, and edge + cloud deployment.
Mentorship and the ability to raise the bar across an engineering team.
Excellent communication and cross-functional collaboration.

What You Bring (Qualifications)

Required

Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or a related field.
5+ years of experience in machine learning and software engineering.
Proven experience leading technical teams or projects in a production environment.
Solid understanding of core ML/AI algorithms: supervised and unsupervised learning, classification, regression, clustering, and deep learning techniques.
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn), SQL, and cloud platforms.
Experience with time-series data.
Excellent communication and cross-functional collaboration skills.

Preferred

Advanced degree in Computer Science, Electrical Engineering, Statistics, or a related field.
Experience in industrial sectors.
Knowledge of MLOps tools (MLflow, Airflow, Docker, Kubernetes).
Experience with one or more of signal processing, edge computing, and physics-informed ML models.

About Clarios:

Clarios is the global leader in advanced, low-voltage battery technologies for mobility. Our batteries and smart solutions power nearly every type of vehicle and are found in 1 of 3 cars on the road today. With around 18,000 employees in over 100 countries, we bring deep expertise to our Aftermarket and OEM partners, and reliability, safety and comfort to everyday lives. We answer to the planet with a rigorous sustainability focus – advancing best-in-class sustainability practices and advocating for them across our industry. We work to ensure 100% of our products sold are recyclable, and we recycle 8,000 batteries an hour in our network. You can find more information here (PDF).

To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Equal Employment Opportunity:
Clarios, LLC is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law, EEO is the Law (supplement), and Pay Transparency Non-discrimination. If you are an individual with a disability and you require an accommodation during the application process, please email [email protected].

A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.

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machine learning engineer technical empleos en monterrey, nle

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