Vagas remotas de Spark para candidatos em México.

Tendrás una influencia directa en la estrategia de datos de las empresas más transformadoras.

• Spark

Drive the commercial success of Databricks’ learning and enablement offerings across enterprise accounts for the assigned Americas Business Unit.

• Lead
• Spark

Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team.

• Lead
• Spark

5+ years of relevant experience

• Senior
• AWS
• Azure
• Kubernetes
• +2

5+ years of relevant experience

• Senior
• AWS
• Azure
• Kubernetes
• +2

Collaborate proactively with a distributed team

• Kubernetes
• MongoDB
• PostgreSQL
• +3

You will lead a team building scalable data solutions for Kubernetes and cloud machines

• Lead
• Golang
• Kubernetes
• Python
• +2

Understand Ubuntu, Linux, networking and services in real-world environments

• Lead
• AWS
• Azure
• Kubernetes
• +4

Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services

• Lead
• AWS
• Azure
• GCP
• +4

Work across the entire Linux stack, from kernel, networking, storage, to applications

• AWS
• Azure
• GCP
• +3

Understand Ubuntu, Linux, networking and services in real-world environments

• AWS
• Azure
• Kubernetes
• +4

GTM Strategy & Execution: Develop and execute AMER GTM strategy, implementing innovative strategies that expand our market presence.

• Lead
• Spark

Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives.

• Senior
• AWS
• CI/CD
• Python
• +2

Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.

• Senior
• AWS
• CI/CD
• Docker
• +5

A curious problem solver who challenges the status quo

• Senior
• Python
• Spark
• SQL

Builds/ Optimizes machine learning models.

• Senior
• AWS
• LLM
• Python
• +2

Fully remote position.

• Senior
• AWS
• Python
• Spark
• +1

Convert data science prototypes (propensity, lookalike, segmentation, fusion) into reproducible, production-quality ML services.

• Senior
• AWS
• Azure
• CI/CD
• +7

Play a pivotal role in architecting and developing software solutions across the full stack that push the boundaries of technology

• Senior
• Docker
• GCP
• Golang
• +11

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

• Senior
• Azure
• CI/CD
• LLM
• +3

Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion

• Senior
• AWS
• Azure
• GCP
• +4

Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.

• Senior
• AWS
• Docker
• Kubernetes
• +4

Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.

• Senior
• AWS
• GCP
• Java
• +2