20 publicaciones de empleo destacadas de / ml engineer en cuauhtémoc cdmx (¡Están contratando!)

Databricks Engineer
RevStar —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- SQL
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
8d
IOT Software Applications Engineer
Qualcomm —Ciudad de México, CDMX
- Informática
- Inglés
- Maestría
Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Google —Ciudad de México, CDMX
- Administración de personal
- Doctorado
- Informática
Data Engineer
IDS Comercial, S.A. de C.V. —Benito Juárez, CDMX
- Tiempo completo
- Ingeniería
- Inglés
- SQL
- Oportunidades de crecimiento
Postulación rápida
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $55,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
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ailylabs —Ciudad de México, CDMX
- Azure
- Informática
- SQL
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Senior .Net Developer Ai
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Licenciatura
- Seguro de vida
Senior Software Engineer (Fullstack) - Scribd Core
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- JavaScript
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
9d
Product Manager
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Gestión de productos
- Seguro de vida
Full Stack Developer/AI Engineer
WPP —Ciudad de México, CDMX
- Azure
- Inglés
- Python
14d
Senior Software Engineer - Real-Time C++/Linux, Edge-to-Cloud Integration
Derq —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- C++
- Desarrollo de software
- Linux
Postulación rápida
Expert Data Engineer
Nestlé —Granada, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
1d
UX/UI Specialist for Data Practice
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Azure
- JavaScript
- HTML
Senior Software Engineer, Iris AI
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Licenciatura
- Seguro de vida
Data Scientist - Life Sciences AI / ML
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Doctorado
- Inglés
- Maestría
Postulación rápida
AI / ML Engineer Lead
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
12d
Senior IT Engineer - Endpoint Engineering
Nubank —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Informática
- DevOps
- Seguro dental
- Seguro de la vista
Postulación rápida
Quant Researcher - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- Tiempo completo
- Doctorado
- Informática
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Postulación rápida
4d
Data Engineer
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Seguro de vida
Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
8d

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Databricks Engineer

RevStar -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 8 días

Beneficios

Seguro dental
Vacaciones adicionales o permisos con goce de sueldo
Seguro de la vista

Cualificaciones

Modelos de inteligencia artificial
Azure
Big data
DevOps
Spark
Google Cloud Platform
SQL
Licenciatura
Seguridad
S3
Apache
Kafka
Python

Descripción completa del empleo

Reports To: Data & AI Practice Lead
Location: Remote (US-Based / Eastern or Central Time Zone Preferred)
Employment Type: Contract

Ready to build greenfield Lakehouse solutions at the bleeding edge of AI and big data? RevStar is an innovation shop and official Databricks Partner launching a dedicated, cloud-agnostic Data, ML, and AI practice. We are seeking a high-caliber Databricks Engineer to build, optimize, and deploy high-performance data pipelines and MLOps frameworks for enterprise clients across AWS, Azure, and GCP. In this role, you will work directly with data architects, scientists, and client leaders to turn complex data into scalable, production-ready AI models. Above all, the ideal candidate embodies RevStar’s core values:

Self-Mastery: We hold a high bar for how we think, communicate, and improve.

Ownership: We own outcomes, not just effort.

Shared Destiny: We rise or fall together.

Your Impact Pillars

Your technical contributions are organized into four strategic pillars:

1. Lakehouse Architecture & Pipeline Engineering

Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across multi-cloud environments (AWS S3, Azure Data Lake, GCS).
Implement robust Lakehouse architectures that seamlessly process both structured and unstructured data at enterprise scale.
Automate data ingestion and storage workflows to support downstream analytics and real-time operational reporting.

2. Performance Optimization & Automation

Fine-tune Spark jobs for low latency, high throughput, and maximum cloud cost-efficiency.
Implement CI/CD pipelines and Infrastructure-as-Code (Terraform, Databricks CLI) for automated deployments.
Build automated monitoring, alerting, and data quality validation frameworks to guarantee pipeline reliability.

3. MLOps & AI Integration

Partner with ML engineers and data scientists to build production-grade feature engineering pipelines.
Support model training, tracking, versioning, and deployment inside Databricks using MLflow.
Operationalize AI/ML models into secure, scalable production environments for client applications.

4. Data Governance & Client Excellence

Enforce enterprise data security, access controls, and compliance standards (GDPR, HIPAA, SOC 2).
Establish best practices for data lineage, metadata management, and operational documentation.
Collaborate with client-facing stakeholders to align technical implementations with critical business outcomes.

Requirements

Must-Have:

3+ years of hands-on experience in data engineering, with a focus on big data processing and cloud-native architectures.
2+ years of hands-on experience with Databricks, including Apache Spark, Delta Lake, and MLflow.
Databricks Certifications (Mandatory):
- Databricks Certified Data Engineer Associate (or higher)
Proficiency in Python, SQL, and Spark-based frameworks.
Experience in developing and optimizing large-scale ETL/ELT pipelines.
Strong understanding of Lakehouse architecture and cloud-agnostic data solutions.
Familiarity with CI/CD pipelines and Infrastructure-as-Code (IaC) for Databricks (e.g., Terraform, Databricks CLI).
Knowledge of data governance, security, and compliance best practices.
Experience working in Agile development environments, following DevOps/MLOps best practices.

Nice-to-Have:

Additional Databricks Certifications (e.g., Databricks Certified Machine Learning Associate).
Experience with real-time streaming solutions (e.g., Kafka, Kinesis, Event Hub).
Familiarity with cloud storage and orchestration tools (e.g., Apache Airflow, Prefect).
Background in AI/ML integration within Databricks, assisting in feature engineering and model deployment.
Experience working in client-facing roles or consulting environments.

Benefits

Benefits for Full-Time W2 Positions:

Paid Time Off – Take the time you need to recharge and stay productive.
Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team.
Comprehensive Health Coverage – Medical, Dental, Vision
401(k) Retirement Plan – Plan for your future with access to a company-sponsored 401(k) program.
Annual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses.
Peer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth.
Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.
Company Outings & Volunteer Opportunities – Build relationships and give back to the community.
Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.

Equal Opportunity Employment

At RevStar, we don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. RevStar is proud to be an equal opportunity workplace.

Reasonable Accommodations

RevStar is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR at [email protected].

Postulación rápida

Refina tu búsqueda

/ ml engineer empleos en cuauhtémoc cdmx

Databricks Engineer

IOT Software Applications Engineer

Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)

Data Engineer

Senior Data Engineer

Decision Intelligence Analyst - Mexico City

Senior .Net Developer Ai

Senior Software Engineer (Fullstack) - Scribd Core

Product Manager

Full Stack Developer/AI Engineer

Senior Software Engineer - Real-Time C++/Linux, Edge-to-Cloud Integration

Expert Data Engineer

UX/UI Specialist for Data Practice

Senior Software Engineer, Iris AI

Data Scientist - Life Sciences AI / ML

AI / ML Engineer Lead

Senior IT Engineer - Endpoint Engineering

Quant Researcher - Systematic Commodities Hedge Fund

Data Engineer

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

Quiero recibir la alerta de empleo más reciente para / ml engineer en cuauhtémoc cdmx

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