Job Title: Advanced Analytics and AI Specialist
We are seeking a highly skilled individual to join our team as an Advanced Analytics and AI Specialist. This role involves developing and implementing cutting-edge AI technologies, including Large Language Models (LLMs) and agent-based systems, in manufacturing settings to identify actionable insights and drive continuous improvement.
Key Responsibilities:
* Technical Contributions:
* Make technical contributions to high-impact projects that require data analytics, advanced modeling, and optimization expertise.
* Identify high-value opportunities for applying Advanced Analytics, Advanced Process Control (APC), Artificial Intelligence (AI), Machine Learning (ML), LLMs, Agentic AI, and the Industrial Internet of Things (IIoT).
* Develop and deploy innovative, fit-for-purpose solutions in the manufacturing environment.
* Apply engineering principles, modeling tools, and experimental skills using data-rich lab/pilot/manufacturing equipment to improve process understanding and facilitate real-time process monitoring and control.
Collaboration and Communication:
* Collaborate with cross-functional teams and key stakeholders, effectively communicate progress to management, and drive project advancement in a timely manner.
* Containerize and deploy models to production.
Qualifications
Basic Qualifications:
* An MSc or PhD degree in a relevant field such as engineering, mathematics, or computer science.
* Expert-level knowledge in Python is required; additional experience in R or Matlab is beneficial.
* Able to perform data engineering on real-world big data, including structured time-series datasets with thousands of features.
* Demonstrated experience applying AI methodologies, including LLMs and agent-based architectures, to real-world data to generate insight and support decision making.
* Proven ability to build autonomous agents or AI copilots tailored to manufacturing or scientific workflows.
* Strong collaborator in diverse cross-functional teams, with a passion for innovation and continuous learning.
* Familiarity with Pharmaceutical (API) or Biopharmaceutical Manufacturing.
* Excellent oral and written communication skills, including the ability to translate technical concepts into actionable insight for both technical and non-technical audiences.
Preferred Qualifications:
* Expertise in first-principles modeling (thermodynamics, reaction modeling, heat/mass transfer), hybrid modeling approaches, and the development of practical process models for real-time applications.
* Experience in cloud-based development environments such as AWS SageMaker.
* Familiarity with cloud-based data warehouses like Snowflake, and relational databases using SQL.
* Hands-on experience with deep learning, latent variable models (LVMs), and their applications to time-series monitoring, anomaly detection, and automated root cause analysis.
* Experience building or integrating LLMs into real-time decision support systems or user-facing agentic applications using Model Context Protocols and Agent2Agent frameworks.
* Proficiency in data visualization and real-time dashboard tools such as Streamlit, ReAct and Plotly.