Machine Learning Engineer I

CEI; West Chester (Chester County); On-site; USD 61,000 - 91,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k)

Job summary

CEI in West Chester, PA is seeking a Back AI Engineer I for an on-site contract role. You will contribute to an AI-powered SRE platform and help evolve machine learning capabilities. Responsibilities include building data pipelines, training models, validating algorithms, and documenting results.

Collaboration with engineering teams is essential to deliver production-ready AI solutions. Applicants should bring 1–3 years of ML/AI experience and strong programming skills in Python/Java/Scala, with

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 1–3 years of ML/AI or data science experience.
• Experience with ML/DL, data mining, statistics, deployment and monitoring.

Responsibilities

• Implement ML algorithms for production applications.
• Build end-to-end data pipelines: ingestion, validation, cleansing, monitoring.
• Train, evaluate and deploy ML models to production.
• Monitor model performance and maintain reliability.
• Produce technical documentation: requirements, plans, reports.
• Collaborate with engineering and operations on platform enhancements.

Skills

Machine Learning

Data Mining

Statistical Analysis

Model deployment

Monitoring

Python

Java

Scala

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Kafka

Spark

Docker

Job description

Back AI Engineer I
Intelligent Apps West Chester , PA Contract On-Site Sep 25, 2026

AI Engineer

Remote
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.

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