53 applicants

Company

phData · 1 day ago

Machine Learning Principal Solutions Architect

United States

Full-time

Remote

Senior Level, Lead/Staff

8+ years exp

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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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Solutions ArchitectureMachine Learning EngineeringPythonSQLBig Data TechnologiesScalaJavaData Pipeline DevelopmentCloud ArchitectureAPIs DevelopmentContainerization TechnologyAWSAzureGCPDockerKubernetesTensorFlowKerasScikit-learnH2oMatillionFivetranDbtSparkRedshiftAmazon EMRFlaskDjangoSpring

Required

8+ years as a hands-on Solutions Architect designing and implementing complex data platforms and solutions

2+ years previous Consulting leadership experience leading projects, expanding customer relationships and ensuring delivery lead growth

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.

Founded in 2014

Minneapolis, Minnesota, USA

501-1000 employees

https://www.phdata.io/

H1B Sponsorship

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Trends of Total Sponsorships

2023 (3)

2022 (14)

2021 (14)

2020 (8)