4+ years customer-facing technical lead experience
Bachelor's degree in computer science or engineering
Expertise in world models and foundation models
This hands-on leader will drive the development and deployment of AI solutions while bridging the gap between AI technologies exploration and real-world applications
Job Summary
This hands-on leader will drive the development and deployment of AI solutions while bridging the gap between AI technologies exploration and real-world applications.
The role requires exceptional industrial domain understanding in sectors such as life sciences, manufacturing, energy, and infrastructure.
Employees benefit from a comprehensive package including flexible benefits, 28 days annual leave, pension, and private medical insurance.
Matching Summary
This hands-on leader will drive the development and deployment of AI solutions while bridging the gap between AI technologies exploration and real-world applications.
Skills & Requirements
Must-have
4+ years customer-facing technical lead experience
Bachelor's degree in Computer Science or Engineering
Expertise in world models and foundation models
Experience deploying AI/ML in industrial environments
Strong industrial domain knowledge in manufacturing or energy
Nice-to-have
Experience with on-prem, edge, and cloud architectures
Knowledge of responsible AI deployment practices
Familiarity with time series and SCADA data
Experience mentoring junior engineers
Background in regulated compliance environments
Key Requirements
1-2 years AI/ML engineering experience
At least 4 years in customer-facing technical lead position