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Job Description

Computer Enterprises Inc is hiring an AI Engineer in West Chester, PA (hybrid) to help build and scale an AI-driven operations platform.

Responsibilities

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

Requirements

  • 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

Technologies

  • Python
  • Machine learning
  • Deep learning
  • Kafka
  • Spark
  • Docker
  • Cloud technologies

Location: West Chester, PA (hybrid)

Compensation: USD 130,000 - 150,000 per year

Minimum experience: 3 years

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