20 publicaciones de empleo destacadas de scientist ai en loreto 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
10d
Data Scientist
entropia AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Ingeniería
- Análisis de datos
- Inglés
- Oportunidades de crecimiento
Postulación rápida
Senior Product Manager
Belvo —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Gestión de productos
- Desarrollo de software
- Vacaciones adicionales o permisos con goce de sueldo
- Horarios flexibles
2d
Data Scientist - Internship
ON.energy —Ciudad de México, CDMX
- Home Office (Desde casa)
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Data Scientist
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Doctorado
- Informática
Postulación rápida
Senior Product Manager - Everand & Fable
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- CAD
- Gestión de productos
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Startups Performance Lead, Google Cloud
Google —Ciudad de México, CDMX
- $152,000 a $221,000 por año
- Administración de personal
- Experiencia en ventas
- Análisis de datos
14d
Data Architect
BMC Software —Ciudad de México, CDMX
- $1,470,000 a $2,450,000 por año
- Azure
- Salesforce
- SQL
Forward Deployed Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Python
Postulación rápida
Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Licenciatura
- Mejora continua
Data & Analytics Specialist
Ford Motor Company —Naucalpan, Méx.
- Informática
- SQL
- Licenciatura
Sr. Data Scientist
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
Digital Finance Support
PepsiCo —Miguel Hidalgo, CDMX
- Microsoft Powerpoint
- Microsoft Excel
- Azure
Data Engineer
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Seguro de vida
Senior Product Designer (UX)
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- Sin título de educación superior
Fullstack AI Software Engineer - LATAM
Futureproofing —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- JavaScript
- Python
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Machine Learning Engineer
Key Prediction —Ciudad de México, CDMX
- $40,000 a $45,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- Maestría
Postulación rápida
Business Intelligence Analyst, NCRC & RCX, LATAM CFX
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Oracle
- Java

Quiero recibir la alerta de empleo más reciente para scientist ai en loreto cdmx

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Databricks Engineer

RevStar -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 10 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

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scientist ai empleos en loreto cdmx

Databricks Engineer

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Senior Product Manager - Everand & Fable

Startups Performance Lead, Google Cloud

Data Architect

Forward Deployed Engineer Intern

Solution Manager

Data & Analytics Specialist

Sr. Data Scientist

Digital Finance Support

Data Engineer

Senior Product Designer (UX)

Fullstack AI Software Engineer - LATAM

Machine Learning Platform Engineer

Data Engineer - Databricks

Machine Learning Engineer

Business Intelligence Analyst, NCRC & RCX, LATAM CFX

Quiero recibir la alerta de empleo más reciente para scientist ai en loreto cdmx

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