Senior Vision AI Engineer
(Cognitive Vision and Industrial AI)
Location: Mid-Atlantic Region
Company: Linque
Linque is an industrial intelligence company that bridges IT, OT, and AI to help critical industries modernize with clarity, control, and confidence.
What We Do
Linque exists to bridge legacy systems with intelligent operations, connecting IT, OT, and AI into one integrated, platform-agnostic system that unlocks value.
We combine deep industrial expertise with platform-agnostic technology to unlock real-time intelligence, unify people and systems, and accelerate progress in mission-critical industries.
Our Products
Hybrid, platform-agnostic solutions that connect OT and IT to unlock real-time data, enable cross-silo visibility, and reveal hidden value.
About the Role
Linque is expanding its Vision AI and Cognitive Automation platform focused on applying real-time computer vision and AI to industrial, biopharmaceutical, and process manufacturing environments. We are seeking a Senior Vision AI Engineer to help lead the development, deployment, and customer-facing application of advanced vision AI solutions. This role sits at the intersection of deep technical execution, platform development, and real-world industrial use cases.
Key Responsibilities
- Design, develop, and deploy production-grade computer vision and machine learning models
- Build optimized end-to-end vision pipelines for real-time and near-real-time applications
- Translate complex industrial problems into scalable AI architecture
- Collaborate cross-functionally with product, engineering, and commercial teams
- Participate in technical customer discussions, pilots, and evaluations
- Support prototypes through pilot and production transitions
- Mentor junior engineers and contribute to technical best practices
Required Qualifications
- 5+ years’ experience in computer vision and machine learning
- Strong hands-on experience deploying AI systems in production
- Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, Keras)
- Deep knowledge of Video / Image processing tools (e.g. Mask R-CNN, ResNet, U-Net)
- Knowledge of object and anomaly detection (Autoencoders, FastFlow, Transformers)
- Tunning experience for CNNs and Vision Models (e.g., MLFlow, NVIDIA TAO, MMD, MMS)
- Mastery of model interchange and GPU acceleration (e.g. ONNX, CUDA, cuDNN)
- Experience working with image/video pipelines, container orchestration (local and cloud)
- Understanding of the full ML / AI lifecycle
Preferred Qualifications
- Experience with real-time vision systems
- Background in industrial automation or regulated environments
- Experience with edge or cloud deployment
- Ability to communicate complex technical topics clearly
Why Join Linque
- Apply AI to real industrial problems with measurable impact
- Collaborate with experienced AI and industrial leaders
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