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Machine Learning Solutions Architect

1 month ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Spark AWS Azure Databricks dbt Django Docker Flask GCP HDFS Java Kafka Keras Kubernetes Linux MLflow MySQL Oracle Python SageMaker 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 37

Description

  • Design and implement data solutions for model inference, retraining, monitoring, and related workflows across an evolving technical stack.
  • Recommend the right technologies and solution designs for each use case, from the application layer through infrastructure.
  • Design environments that enable data scientists to build models and manipulate data.
  • Work within customer systems to extract data and move it into analytical environments.
  • Learn and understand customer technology environments and systems.
  • Define deployment approaches and infrastructure for machine learning models.
  • Partner with data scientists to transform data into actionable insights and deployable machine learning models.
  • Ensure solution deployability at scale and alignment with existing business systems and pipelines.
  • Create operational testing strategies and validate models through QA, implementation testing, and deployment.
  • Ensure the quality of delivered products throughout the software development lifecycle.

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.
  • Ability to build and operate robust data pipelines using multiple data sources, programming languages, and toolsets.
  • Strong working knowledge of SQL, including writing, debugging, and optimizing distributed SQL queries.
  • Hands-on experience with big data ecosystem products 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 prior experience working with internal or external customers.
  • A master’s or other advanced degree in data science or a related field (preferred).
  • Experience with ecosystem technologies such as Spark, Databricks, Snowflake, or AWS/Azure/GCP (preferred).
  • Relevant side projects, such as contributions to an open source technology stack (preferred).
  • Experience with machine learning libraries such as h2o, TensorFlow, Keras, or scikit-learn (preferred).
  • Experience with Docker, Kubernetes, or other containerization technology (preferred).
  • Experience with AWS Sagemaker or Azure ML and MLflow (preferred).
  • Experience building enterprise machine learning models (preferred).

Benefits

  • Remote-first work environment.
  • Casual, award-winning small-business work environment.
  • Collaborative culture that values 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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