Machine Learning Engineer I

West Chester, PA, US • Posted 10 hours ago • Updated 9 hours ago
Contract W2
13 Weeks
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

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Summary

Machine Learning Engineer I / AI Engineer 

Location: West Chester, PA 
Contract position 

Pay: $55 per hour + optional medical, dental, vision, 401(k) 
 

Project Overview 

This position supports an agentic Site Reliability Engineering (SRE) platform that uses AI-powered agents to reduce manual, keyboard-driven operational work. Originally developed as an internal Slack-based operations assistant, this platform is undergoing architectural redesign, expanded system integrations, and backlog-driven enhancements. This role will help build, deploy, and optimize machine learning solutions that support the platform's ongoing evolution. 

Key Responsibilities 

  • Implement, refine, and validate machine learning algorithms for production applications and products. 

  • Develop and maintain end-to-end data pipelines, including: 

    • Data ingestion 

    • Data validation 

    • Data cleansing 

    • Data monitoring 

  • Train, evaluate, and deploy machine learning models into production environments. 

  • Monitor model performance and ensure ongoing accuracy and reliability. 

  • Support proof-of-concept (POC) development and research initiatives for future AI/ML capabilities. 

  • Create and maintain technical documentation, including: 

    • Technical requirements 

    • Evaluation plans 

    • Confluence documentation 

    • White papers 

    • Presentations 

    • Test results and reports 

  • Perform testing, validation, case studies, and solution evaluations. 

  • Collaborate with engineering and operations teams to support OrbitIQ platform enhancements and integrations. 

Required Qualifications 

  • Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical field (or equivalent industry experience). 

  • 1-3 years of professional experience in machine learning, AI, data science, or related engineering roles. 

  • Experience with: 

    • Machine Learning and Deep Learning 

    • Data Mining 

    • Statistical Analysis 

    • Model deployment and monitoring 

  • Strong programming skills in one or more of the following: 

    • Python 

    • Java 

    • Scala 

  • Experience building and managing data pipelines. 

  • Familiarity with cloud-native and big data technologies, including: 

    • Kafka 

    • Spark 

    • Docker 

Preferred Qualifications 

  • Exposure to AI agents, automation platforms, or SRE-related tooling. 

  • Experience supporting production AI/ML applications. 

  • Familiarity with cloud platforms and containerized deployments. 

  • Strong analytical, troubleshooting, and documentation skills. 

 

#INDGEN 

#ZR 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: ceiam
  • Position Id: 32781
  • Posted 10 hours ago
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HT

Hope Tomacruz

Recruiter @ Computer Enterprises, Inc.
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