Tagup, Inc.

Machine Learning Engineer

Tagup, Inc.

full-time

Posted on:

Location Type: Office

Location: Salt Lake City • Utah • 🇺🇸 United States

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Salary

💰 $125,000 - $165,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AnsibleAWSAzureCloudGoogle Cloud PlatformKubernetesMongoDBMySQLPostgresPythonPyTorchTensorflowTerraform

About the role

  • Develop, train, and optimize ML models for large-scale applications
  • Design, deploy, and scale AI solutions that directly support mission-critical operations
  • Build pipelines for data ingestion and model deployment
  • Work with engineers and subject-matter experts to refine solutions
  • Conduct testing and validation to ensure reliability
  • Co-author technical reports on data analysis and model performance
  • Continuously improve ML infrastructure and workflows
  • Collaborate with customers to identify new data sources (some customer travel may be required)
  • Create models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance

Requirements

  • 4+ years of machine learning experience
  • Strong Python skills
  • Proficiency in frameworks such as PyTorch or TensorFlow
  • Proven ability to deploy ML models into production and work with large, complex datasets
  • Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines
  • Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible
  • Familiarity with datastores (MySQL, Postgres, or MongoDB)
  • Prior exposure to aviation, defense, or other safety-critical environments is a plus
  • Applicants must be authorized to work for ANY employer in the U.S.; no visa sponsorship
  • Some customer travel may be required
Benefits
  • Competitive salary and benefits package
  • Employee Stock Option Plan (part-ownership)
  • Comprehensive health insurance benefits
  • Access to the company’s 401K plan
  • Team-oriented work environment
  • Regular company outings

ATS Keywords

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

Hard skills
machine learningPythonPyTorchTensorFlowMLOpsKubernetesMLflowCI/CDcloud infrastructureTerraform
Soft skills
collaborationcommunicationproblem-solvingtestingvalidation
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