AI Engineer

PCI Pharma Services•Philadelphia, IL

4d•$77,600 - $101,850•Hybrid

About The Position

The AI Engineer will be responsible for developing, implementing, and maintaining AI-driven solutions to enhance the efficiency, accuracy, and scalability of our pharmaceutical packaging operations. This role will involve collaborating with cross-functional teams, including operations, quality assurance, and regulatory compliance, to integrate AI technologies into our workflows. The ideal candidate will have a strong background in AI/ML, experience in regulated industries, and a passion for leveraging technology to solve complex operational challenges.

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.
Extensive experience of structured problem solving and troubleshooting techniques.
Ability to perform the most complex computer tasks and operate various computer programs.
Ability to speak, read, and write fluently and accurately on all levels pertinent to professional needs.
Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems and deal with nonverbal symbolism in its most difficult phases while dealing with concrete/abstract variables.
Ability to Travel
Strong analytical and decision-making skills
Exceptional time management, organizational, and negotiation skills
Excellent communication skills, written, verbal and strong presentation skills.
Ability to motivate and lead teams by influence.
Able to translate customer feedback into meaningful product solutions, is a self-motivated multitasker with high attention to detail.

Nice To Haves

A PhD is a plus.
Experience with data pipelines, ETL processes, and big data tools (e.g., Hadoop, Spark) is a plus
Certifications: Relevant certifications in AI/ML, cloud platforms, or pharmaceutical regulations.
Work in experience in pharmaceutical, medical device, or related life sciences.
Knowledge of GAMP5, ISO 11040, and ISO 11608 standards
Familiarity with pharmaceutical packaging processes, GMP, or regulatory compliance is a plus.

Responsibilities

Design and deploy AI/ML algorithms to mine and analyze MES and integrated PCI data lake data, driving improvements in OEE, reject rates, and line performance across device assembly, OSD, and commercial packaging operations
Build intuitive dashboards and reporting tools that turn multi-vendor equipment data into clear, actionable insights for operators and plant leadership
Develop data pipelines that integrate and normalize data across packaging lines spanning multiple equipment vendors and protocols
Apply statistical and machine learning techniques to identify root causes of rejects, downtime, and performance variability
Develop predictive maintenance algorithms within the CMMS, using sensor and historical maintenance data to forecast failures and reduce unplanned downtime
Support equipment and OT vendors in configuring, validating, and tuning AI/ML modules for compatibility with internal systems
Partner with Quality and Regulatory teams to ensure AI tools and models comply with GMP, data integrity, and applicable regulatory standards
Collaborate cross-functionally with Operations, Engineering, and IT/OT to define use cases and prioritize AI initiatives aligned with plant KPIs
Monitor, retrain, and document deployed models to maintain accuracy and audit readiness over time
Innovation and Research - Stay updated on advancements in AI/ML, particularly in applications for manufacturing and pharmaceuticals
Explore emerging technologies (e.g., computer vision, NLP, reinforcement learning) to enhance packaging operations
Knowledge of and adherence to all PCI, cGMP, and GCP policies, procedures, rules.
Performs job duties as assigned by Manager/Supervisor