phdata

Machine Learning Solutions Architect

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At a Glance

Location
Latam
Work Regime
remote
Experience
6+ years
Posted
2026-04-08T18:27:12-04:00

Key Requirements

Required Skills

AWSAzureData ScienceDatabricksDjangoDockerGCPJavaKafkaKubernetesLinuxMachine LearningMySQLOraclePythonSAPSQLScalaSnowflakeTensorFlow

Domain Knowledge

  • Engineering

Compensation & Benefits

Remote-First Work Environment

Casual, award-winning small-business work environment

Collaborative culture that prizes autonomy, creativity, and transparency

Competitive comp, excellent benefits, generous weeks PTO plus 10 Holidays (and other cool perks)

Accelerated learning and professional development through advanced training and certifications

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Responsibilities

Design and create environments for data scientists to build models and manipulate data

Work within customer systems to extract data and place it within an analytical environment

Learn and understand customer technology environments and systems

Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop

Demonstrate the business value of data by working with data scientists to manipulate and transform data into actionable insights

Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models