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PCI Pharma Services

AI Engineer

PCI Pharma Services

AI Engineer responsible for developing AI-driven solutions to enhance pharmaceutical packaging operations. Collaborating with various teams to integrate AI technologies for operational efficiency.

Posted 6/26/2026full-timeRockford • Illinois, Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $77,600 - $101,850 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudERPETLGoogle Cloud PlatformHadoopIoTPythonPyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact
  • Developing, implementing, and maintaining AI-driven solutions to enhance the efficiency, accuracy, and scalability of pharmaceutical packaging operations
  • Collaborating with cross-functional teams, including operations, quality assurance, and regulatory compliance, to integrate AI technologies
  • Designing and deploying AI/ML algorithms to mine and analyze MES and data lake data
  • Building intuitive dashboards and reporting tools for actionable insights
  • Developing data pipelines that integrate and normalize data across packaging lines
  • Applying statistical and machine learning techniques to identify root causes of rejects and downtime
  • Developing predictive maintenance algorithms to forecast failures
  • Supporting equipment and OT vendors in configuring and tuning AI/ML modules
  • Partnering with Quality and Regulatory teams to ensure compliance with standards
  • Monitoring, retraining, and documenting deployed models for accuracy

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field
  • Up to 3+ years of experience in designing, developing, and deploying AI/ML models in a production environment
  • Proficiency in Python, R, or similar programming languages for AI/ML development
  • Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Knowledge of computer vision, time-series analysis, or predictive modelling techniques
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for model deployment and scaling
  • Understanding of IoT, MES, or ERP systems integration
  • Experience with data pipelines, ETL processes, and big data tools (e.g., Hadoop, Spark) is a plus
  • Strong analytical and decision-making skills
  • Advanced Computer Skills: Ability to perform the most complex computer tasks and operate various computer programs
  • Full Professional Proficiency: Ability to speak, read, and write fluently and accurately on all levels pertinent to professional needs
  • Ability to Travel
  • Ability to motivate and lead teams by influence.

Benefits

Comp & perks
  • paid time off
  • health insurance coverage (including dental and vision)
  • flexible spending account
  • 401(k)

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI-driven solutionsAI/ML algorithmsdata pipelinespredictive maintenance algorithmsstatistical techniquesmachine learning techniquesprogramming languagescomputer visiontime-series analysispredictive modelling
Soft Skills
analytical skillsdecision-making skillsleadershipcollaborationcommunicationmotivationinfluence