Machine Learning Principal Solutions Architect

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Requirements:

• 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
• Expertise in Python, Scala, Java, or another modern programming language
• 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.
• Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), and storage systems (e.g., AWS, Databricks, Cloudera)

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
• 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