Demo

Machine Learning Engineer

Computer Enterprises, Inc.
Philadelphia, PA Contractor
POSTED ON 4/16/2026
AVAILABLE BEFORE 5/16/2026
Role: Machine Learning Engineer
Rate: $70/hour W2
Location: Philadelphia, PA
Schedule: Hybrid (3 to 4 days onsite)

We are seeking a Machine Learning Engineer to design, develop, and deploy scalable machine learning solutions for production use. This role focuses on building end to end data pipelines, training and validating ML models, and delivering proof of concept solutions to support future product development. The ideal candidate has strong programming skills, hands on experience with ML model deployment and monitoring, and a collaborative mindset for working across engineering and product teams.

Responsibilities
  • Implement, refine, and validate machine learning algorithms for products and applications
  • Design and develop end to end data pipelines, including data ingestion, validation, cleaning, and monitoring
  • Train machine learning models, validate model performance, and deploy production ready models
  • Design proof of concept (POC) solutions and contribute to research and studies supporting future product or application development
  • Test and evaluate solutions through case studies, experimentation, and reporting
  • Research, write, and maintain technical documentation, including evaluation plans, Confluence pages, white papers, presentations, test results, technical manuals, recommendations, and reports
  • Collaborate cross functionally and represent the team in resolving technical issues associated with assigned projects

Required Skills & Qualifications
  • Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or a related technical discipline (or equivalent industry experience)
  • Hands on experience with machine learning, deep learning, data mining, and/or statistical analysis, including model deployment and monitoring
  • Strong programming and software development skills in Python, Java, and/or Scala
  • Experience with data pipeline and cloud technologies such as Kafka, Spark, and Docker
  • 6 to 8 years of relevant experience post Bachelor’s degree, or a recent Master’s degree preferred


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Salary : $70

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