CGWS - COME GROW WITH US

Senior AI/ML Engineer

CGWS - COME GROW WITH US

full-time

Posted on:

Location Type: Remote

Location: Remote • Utah • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSCloudPython

About the role

  • Build platforms for driving intelligent decisions, interacting with machine learning models, and powering interactions such as conversational interfaces
  • Collaborate with data scientists, data engineers, data analysts, software engineers, IT specialists, and stakeholders to expand effective use of AI applications
  • Research and prove out new approaches and algorithms through prototypes
  • Ensure high-quality system delivery and continually improve workflows and methods

Requirements

  • 5+ years of professional experience building data-centric software, as a machine learning engineer, AI specialist, software-focused data scientist, or similar
  • Experience building and deploying production applications and a deep understanding of the end to end components of a Cloud based application
  • Track record as an engineer building for production, ideally with machine learning algorithms (typically Python), logic and platform services, and intelligent systems at scale
  • Demonstrated ability to interface data repositories / caches / pipelines, message queues, ML models, LLMs, and other services in cloud environments, especially AWS
  • Expertise with LLMs, prompt engineering, agent building, and vector databases
  • Skill collaborating using cloud-based tooling, git, notebook systems, and ML workflows
Benefits
  • Comprehensive health, life, and disability insurance
  • Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
  • 401k plans with up to 6% company match
  • $2000 Paid-Paid Vacation bonus
  • EAP through Headspace
  • Check out all our benefits that benefit you

Applicant Tracking System Keywords

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

Hard skills
machine learningAI applicationsdata-centric softwareproduction applicationscloud-based applicationsPythonLLMsprompt engineeringagent buildingvector databases
Soft skills
collaborationcommunicationproblem-solvingresearchworkflow improvement