phData · 21 hours ago
Machine Learning Solutions Architect
United States
Full-time
Remote
Senior Level
6+ years expphData is a dynamic and innovative leader in the modern data stack, partnering with major cloud data platforms to deliver cutting-edge services and solutions. The Machine Learning Solutions Architect is responsible for designing and implementing data solutions to meet customer needs, providing thought leadership on technology and solution design, and ensuring the successful deployment of machine learning models in production environments.
AnalyticsInformation ServicesInformation Technology
Responsibilities
Designing and implementing data solutions best suited to deliver on our customer needs — from model inference, retraining, monitoring, and beyond — across an evolving technical stack
Providing thought leadership by recommending the technologies and solution design for a given use case, from the application layer to infrastructure; and they have the team leadership and coding skills (e.g. Python, Java, and Scala) to build and operate in production; and to help ensure performance, security, scalability, and robust data integration
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
Partner with data scientists to ensure solution deployability—at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle
Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
Ensure the quality of the delivered product
Qualification
Required
At least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer
4-year Bachelor's degree in Computer Science or a related field
Experience deploying machine learning models in a production setting
Expertise in Python, Scala, Java, or another modern programming language
The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets
Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
Hands-on experience in one or more big data ecosystem products/languages such as Spark, Snowflake, Databricks, etc
Familiarity with multiple data sources (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP)
Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), and storage systems (e.g., AWS, Databricks, Cloudera)
Production experience in core data technologies (e.g. Spark, HDFS, Snowflake, Databricks, Redshift, & Amazon EMR)
Development of APIs and web server applications (e.g. Flask, Django, Spring)
Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment
Excellent communication and presentation skills; previous experience working with internal or external customers
Preferred
A Master's or other advanced degree in data science or a related field
Hands-on experience with one or more ecosystem technologies (e.g., Spark, Databricks, Snowflake, AWS/Azure/GCP)
Relevant side projects (e.g. contributions to an open source technology stack)
Experience working with Data-Science and Machine-Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc
Experience with Docker, Kubernetes, or some other containerization technology
AWS Sagemaker (or Azure ML) and MLflow experience
Experience building enterprise ML models
Benefits
Remote-First Work Environment
Casual, award-winning small-business work environment
Collaborative culture that prizes autonomy, creativity, and transparency
Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks)
Accelerated learning and professional development through advanced training and certifications
Company
phData
phData Premier provider of Big Data managed services and architecture, engineering, and data science consulting.
501-1000 employees
H1B Sponsorship
phData has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (13)
2023 (4)
2022 (16)
2021 (15)
2020 (9)
Funding
Current Stage
Late StageTotal Funding
$2.5M2024-12-16Acquired
2018-03-07Seed· $2.5M
Leadership Team
Adam Fokken
Principal Solutions Architect
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2025-06-25
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