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Machine Learning Engineer I

Computer Enterprises, Inc.West Chester, PA🇺🇸United StatesPosted Sep 24, 2026

Why This Role Stands Out

This hybrid Machine Learning Engineer role offers a fantastic opportunity to contribute to an innovative AI-powered SRE platform, fostering significant career growth and skill development in a reputable company. If you thrive on building and optimizing machine learning solutions and enjoy collaborating with dynamic teams, this position is perfect for you to make a real impact. Apply today to join this exciting project!

Quick Overview

Salary
$55/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
West Chester, PA, United States
Posted
21 hours ago
DockerScalaMachine LearningConfluenceDeep LearningJavaKafkaPython

Job Description

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 

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