9 publicaciones de empleo destacadas de machine learning en coacalco méx. (¡Están contratando!)

DevOps Engineer (Data & AI Platform)
SimplePractice —Ciudad de México, CDMX
- $1,124,480 a $1,405,600 por año
- DevOps
- Python
- Seguro dental
- Seguro de la vista
Postulación rápida
10d
Senior Software Engineer
Umba —Ciudad de México, CDMX
- DevOps
- Java
- JavaScript
Postulación rápida
CYBERSECURITY SPECIALIST
PROXIM —Ciudad de México, CDMX
- Tiempo completo
- Python
Senior Frontend Engineer (React Native)
Lendable —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Presencial
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
la26.042 - Data Engineer
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Sr. AI engineer
Sezzle —Ciudad de México, CDMX
- $50,000 a $120,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Experiencia en bases de datos
- SQL
Sr. AI Engineer - Marketing
Sezzle —Ciudad de México, CDMX
- $50,000 a $120,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Experiencia en bases de datos
- SQL
Data Scientist
CIAL D&B Services Inc —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Inglés
- Experiencia en bases de datos
Postulación rápida

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Cruzar y correlacionar datos de cultura, clima organizacional y engagement con métricas de negocio para identificar patrones de impacto estratégico.
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Business Analyst (Analista de Negocios)
Cotiviti —Ciudad de México, CDMX
Analyze and profile source system data to confirm reporting feasibility and data quality. Work with data engineering and BI teams to validate source-to-report…
$29,000 a $34,000 por mes

Quiero recibir la alerta de empleo más reciente para machine learning en coacalco méx.

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DevOps Engineer (Data & AI Platform)

SimplePractice -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

$1,124,480 a $1,405,600 por año
Hace 10 días

Beneficios

Seguro dental
Seguro de la vista

Cualificaciones

Derecho
Kubernetes
Tooling
DevOps
Spark
Git
Bash
Docker
Kafka
Python
Shell Scripting

Descripción completa del empleo

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.

Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

The Role

We are hiring a DevOps Engineer to support and scale our Data and AI platform in production. This role focuses on building reliable infrastructure for data pipelines and ML systems, standardizing deployment patterns, and ensuring performance, observability, and cost efficiency across compute-intensive workloads.

Responsibilities

Build and operate infrastructure for data pipelines and AI/ML workloads
Develop and maintain CI/CD for application and model lifecycle (build, train, deploy)
Manage Infrastructure as Code (Terraform) across environments
Support containerized workloads and orchestration (Docker, Kubernetes)
Partner with Machine Learning teams and engineering to productionize models
Implement monitoring, logging, and tracing for data flow and model performance
Improve reliability, scalability, and cost efficiency of data systems
Enforce security and access controls for data and infrastructure
Reduce operational overhead through automation and tooling

Desired Skills & Experience

3+ years of experience in DevOps, SRE, or infrastructure engineering
End-to-End MLOps/LLMOps Expertise: Experience deploying and maintaining ML/AI workflows. Familiarity with the unique nature of promoting AI assets (models, datasets, and code) through the lifecycle.
Strong cloud experience (AWS preferred)
Proficiency with Terraform (or similar IaC tools)
Experience with Docker and Kubernetes
Familiarity with CI/CD and Git-based workflows
Experience supporting data platforms (e.g., Airflow, Kafka, Spark, or similar)
Programming/scripting (Python, Bash, or similar)
Experience with observability tools and practices

Preferred Qualifications

Experience with MLOps tooling (e.g., MLflow, SageMaker, Kubeflow)
Familiarity with LLM-based systems and AI observability(token usage tracking, prompt versioning) and evaluation loops
Experience with real-time or high-throughput data systems
Exposure to security and compliance requirements (e.g., SOC 2, HIPAA)
Experience with specific MLOps tooling (Outerbounds, SageMaker, Metaflow) and vector database

Benefits

We offer a competitive benefits program including:

Privatized Medical, Dental & Vision Coverage
Supplemental health and wellness benefit - Modern Health and Vivawell
Work From Home stipend
Flexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), Paid Holidays
Christmas Bonus ( 15-day aguinaldo )
Monthly meal/grocery voucher via Si Vale card
Catered Lunch
A relocation bonus for candidates joining us from a different city
Annual Bonus
Tuition Reimbursement
Saving Funds
Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC ("SimplePractice" or "us" or "we" or "our"). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices, please contact us at [email protected].

Notice to Candidates

SimplePractice has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (simplepractice.com/careers) and reputable job boards like our official LinkedIn or Indeed pages.

All official SimplePractice recruitment emails will be sent from the domains @simplepractice.com, [email protected] or no‑[email protected] email addresses.

Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers.

Please note that SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.

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machine learning empleos en coacalco méx.

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