Computer Enterprises, Inc.
Computer Enterprises, Inc.

AI Engineer

Maple Glen, PA, US • Posted 1 day ago • Updated 1 day ago
Contract W2
13 Weeks
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Agentic AI

Summary

AI Engineer
Philadelphia, PA 19103 (hybrid)
Pay: $100,000-$150,000

Overview

We are seeking a AI Engineer to support the development of an AI-driven operations platform focused on automating operational tasks and improving system reliability. This role will help design, build, and deploy machine learning solutions, expand platform integrations, and contribute to the platform's ongoing architecture and roadmap.

Key Responsibilities

  • Design, train, validate, deploy, and monitor machine learning models.
  • Build and maintain data pipelines for ingestion, validation, cleansing, and monitoring.
  • Develop proof-of-concept solutions and evaluate emerging AI/ML technologies.
  • Contribute to platform architecture, automation capabilities, and system integrations.
  • Collaborate with engineering, operations, and product teams to deliver solutions.
  • Create technical documentation, test plans, recommendations, and reports.
  • Support testing, analysis, and continuous improvement initiatives.

Required Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related field.
  • 3-5 years of experience in Machine Learning Engineering, Data Engineering, or Software Engineering.
  • Strong programming experience with Python.
  • Experience developing, deploying, and monitoring machine learning models in production.
  • Hands-on experience with machine learning, deep learning, statistical analysis, or data mining.
  • Experience building scalable data pipelines and processing frameworks.
  • Knowledge of Kafka, Spark, Docker, and modern cloud technologies.
  • Strong software engineering and problem-solving skills.

Preferred Qualifications

  • Master's degree in a related technical field.
  • Experience with AI agents, automation platforms, or intelligent workflow solutions.
  • Background supporting Site Reliability Engineering (SRE), observability, or operations automation initiatives.
  • Experience with Generative AI, LLMs, or agentic AI frameworks.
  • Familiarity with AWS, Databricks, and related cloud platforms.

Top Skills

  • Python
  • Machine Learning & Model Deployment
  • Data Engineering & Pipelines
  • Kafka, Spark, Docker
  • Cloud Technologies
  • AI/Automation Platforms
  • Software Engineering

Ideal Candidate

The ideal candidate is a strong Python developer with experience building and deploying machine learning solutions at scale. They possess a solid software engineering foundation, understand data pipelines and cloud technologies, and can contribute to architectural decisions while helping drive AI-powered automation initiatives.


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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: 32916
  • Posted 1 day ago
Contact the job poster
Ryan Gold

Ryan Gold

National Recruiting Lead @ Computer Enterprises, Inc.

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