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Machine Learning Solutions Architect (Omaha)

1 hour, 15 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
DevOps and Infrastructure
Apache Spark AWS Azure Databricks dbt Django Docker Flask GCP HDFS Java Kafka Keras Kubernetes Linux MLflow MySQL Oracle Python SAP Scala Scikit-learn Snowflake Spring SQL TensorFlow
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phData

phData

phData specializes in providing comprehensive data engineering, data strategy, and machine learning services, offering end-to-end managed data solutions that facilitate data migrations, integrations, and the development of modern data products and appl...

IT Services
251-1K
View All Jobs 24

Description

  • Design and implement data and machine learning solutions across an evolving technical stack.
  • Recommend the right technologies and solution design for specific use cases from the application layer to infrastructure.
  • Design environments that enable data scientists to build models and work with data.
  • Extract data from customer systems and prepare it for use in analytical environments.
  • Define deployment approaches and infrastructure for machine learning models.
  • Work with data scientists to transform data into actionable insights and deployable machine learning inputs.
  • Partner with data scientists to ensure solutions are deployable at scale and maintainable throughout the lifecycle.
  • Create operational testing strategies and validate models through QA, implementation, testing, and deployment.
  • Ensure the quality of the delivered product.
  • Learn and understand customer technology environments and systems.

Requirements

  • At least 6 years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer.
  • A 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.
  • Strong working knowledge of SQL, including the ability to write, debug, and optimize distributed SQL queries.
  • Ability to build and operate robust data pipelines across multiple data sources, programming languages, and toolsets.
  • Hands-on experience with big data ecosystem products or languages such as Spark, Snowflake, or Databricks.
  • Familiarity with multiple data sources such as JMS, Kafka, RDBMS, DWH, MySQL, Oracle, or SAP.
  • Systems-level knowledge of network/cloud architecture, operating systems such as Linux, and storage systems such as AWS, Databricks, or Cloudera.
  • Production experience with core data technologies such as Spark, HDFS, Snowflake, Databricks, Redshift, or Amazon EMR.
  • Development experience with APIs and web server applications such as Flask, Django, or Spring.
  • Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment.
  • Excellent communication and presentation skills with experience working with internal or external customers.
  • A master's or other advanced degree in data science or a related field is preferred.
  • Experience with ecosystem technologies such as Spark, Databricks, Snowflake, or AWS/Azure/GCP is preferred.
  • Relevant side projects or open source contributions are preferred.
  • Experience with machine learning libraries such as h2o, TensorFlow, Keras, or scikit-learn is preferred.
  • Experience with Docker, Kubernetes, or other containerization technologies is preferred.
  • Experience with AWS Sagemaker, Azure ML, or MLflow is preferred.
  • Experience building enterprise ML models is preferred.

Benefits

  • Remote-first work environment.
  • Casual, award-winning small-business work environment.
  • Collaborative culture that prizes autonomy, creativity, and transparency.
  • Competitive compensation and excellent benefits.
  • 4 weeks of PTO plus 10 holidays.
  • Accelerated learning and professional development through advanced training and certifications.

Interested in this position?

Apply directly on the company website

Apply Now

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