Principal AI Architect for Industrial IoT & Manufacturing

Zobility; Oshkosh (WI); Vor Ort; USD 180.000 - 280.000; Vollzeit

Zusammenfassung

Zobility is seeking a Principal Data Scientist to shape the technical roadmap for enterprise AI/ML initiatives and work with executives to identify high-value analytics opportunities. You will lead end-to-end design, development, and deployment of predictive, prescriptive, and generative models.

You will mentor senior engineers and collaborate with data engineering, cloud, and software teams to ensure robust deployment, monitoring, and ROI communication to stakeholders.

Qualifikationen

• 8+ years of experience in analytics and AI in any business organization.
• Advanced proficiency in Python and SQL; experience with R, Scala, or C++ is a plus.
• Experience with industrial IoT, time-series sensor data, or CV/robotics domains.
• Strong ability to translate business challenges into production-ready data science solutions.

Aufgaben

• Define the technical roadmap and architecture for enterprise AI/ML initiatives.
• Partner with executive leaders to identify high-value analytics opportunities.
• Lead end-to-end design, development, and deployment of predictive, prescriptive, and generative models.
• Mentor data scientists and ML engineers across seniority levels.
• Collaborate with data engineering, cloud, and software teams for deployment and monitoring.

Kenntnisse

Python

SQL

Big Data

MLOps

CI/CD

Deep Learning

Cloud (Azure/AWS)

Ausbildung

Bachelor's degree in data science / related field

MBA

PhD

Tools

PyTorch

TensorFlow

Scikit-learn

Hugging Face

Apache Spark

Databricks

MLflow

Jobbeschreibung

Zobility is seeking a Principal Data Scientist to shape the technical roadmap for enterprise AI/ML initiatives and work with executives to identify high-value analytics opportunities. You will lead end-to-end design, development, and deployment of predictive, prescriptive, and generative models.

You will mentor senior engineers and collaborate with data engineering, cloud, and software teams to ensure robust deployment, monitoring, and ROI communication to stakeholders.