Ryan

Senior Manager, AI and Data Engineering

Ryan

full-time

Posted on:

Location Type: Hybrid

Location: Dallas • Texas • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSAzureCloudJavaLinuxPythonPyTorchScalaScikit-LearnTensorflow

About the role

  • Overseeing the implementation of technical solutions for the identification of complex patterns in large, high-dimensional/high-frequency data sets
  • Executing and participating in the data vision
  • Building out robust, high-performance technology solutions
  • Mixing strong hands-on technical leadership with the management of matrixed resources
  • Leading agile teams to design, develop, test, implement and support highly scalable AI/ML solutions
  • Ensuring solutions are aligned with business objectives and client requirements
  • Collaborating with product teams and clients to deliver robust cloud-based AI/ML solutions
  • Analyzing user feedback and activity and iterating to improve the services and user experience
  • Functioning as a subject matter expert by staying current on the latest research

Requirements

  • Bachelor’s and/or Master’s degree in a related field
  • 7+ years of professional experience in data science, machine learning, or applied analytics.
  • Proven experience leading high-performing teams of data scientists, ML engineers, data engineers, or other data and analytics professionals.
  • Hands-on experience designing, building, and deploying enterprise ML solutions to production, including end-to-end model lifecycle ownership (not prototypes only).
  • Strong coding experience in Python (required) with experience overseeing or contributing to solutions written in Java, Scala, or C.
  • Direct experience building cloud-based data and ML solutions using AWS or Azure.
  • Experience designing, deploying, and maintaining production data pipelines.
  • Hands-on experience with at least one ML framework, such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong system and data architecture skills, including the ability to design ML systems, create data models, develop architecture diagrams, and define system components.
  • Experience working in mixed Windows and Linux environments.
  • Intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.
Benefits
  • Hybrid Work Options
  • Award-Winning Culture
  • Generous Personal Time Off (PTO)
  • 14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
  • Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
  • Benefits Eligibility Effective Day One
  • 401K with Employer Match
  • Tuition Reimbursement After One Year of Service
  • Fertility Assistance Program
  • Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencemachine learningapplied analyticsPythonJavaScalaCAWSAzureTensorFlow
Soft skills
technical leadershipteam managementcollaborationuser experience improvementsubject matter expertise