AI Engineer

Jobtailor; Illinois; On-site; USD 90,000 - 150,000; Full time

Job summary

Jobtailor in Illinois seeks an AI/ML Engineer to develop, deploy, and maintain AI-driven solutions for pharmaceutical packaging. You will partner with operations, quality, and regulatory teams to ensure compliant, scalable models across MES and data lake data.

You will design predictive maintenance, build dashboards, and create data pipelines while applying statistical methods to identify root causes of rejects and downtime. Travel to client sites may be required.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, ML, or related field.
• Up to 3+ years of experience designing, developing, and deploying AI/ML models in production.
• Proficiency in Python, R, or similar languages for AI/ML development.
• Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Knowledge of computer vision, time-series analysis, or predictive modelling techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) for deployment and scaling.
• Understanding of IoT, MES, or ERP systems integration.
• Experience with data pipelines, ETL, and big data tools (Hadoop, Spark).
• Strong analytical and decision-making skills.
• Ability to travel and lead teams by influence.

Responsibilities

• Develop, implement, and maintain AI-driven solutions for pharma packaging operations.
• Collaborate with operations, QA, and regulatory teams to integrate AI technologies.
• Design and deploy AI/ML algorithms to mine MES and data lake data.
• Build dashboards and reporting tools for actionable insights.
• Develop data pipelines that integrate and normalize data across packaging lines.
• Apply statistical and machine learning techniques to identify root causes of rejects and downtime.
• Develop predictive maintenance algorithms to forecast failures.
• Support equipment/OT vendors in configuring AI/ML modules.
• Partner with Quality and Regulatory teams to ensure compliance with standards.
• Monitor, retrain, and document deployed models for accuracy.

Skills

Python

R

ML/DL development

Data analysis

Analytical skills

Statistical modelling

Cloud platforms

MES/ERP integration

Big data tools

Time-series analysis

IoT knowledge

Travel readiness

Leadership by influence

Education

Bachelor's/Master's in CS/Data Science/AI/ML

Tools

TensorFlow

PyTorch

Scikit-learn

Hadoop

Spark

AWS

Azure

GCP

Job description

Responsibilities

• 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

• 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.