Senior Computer Vision
vor 8 Stunden
We are seeking a
Senior Computer Vision / Multimodal Engineer
to design, train, and deploy advanced vision models for object detection, segmentation, tracking, and behavior analysis within real-world retail and mobility environments. You will play a key role in optimizing real-time performance for edge and cloud systems, developing robust inference pipelines, and pushing the boundaries of multimodal AI.
This is an exciting opportunity to work on
cutting-edge visual AI
that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts.
THIS ROLE IN BASED IN
LONDON,
UK, PLEASE ONLY APPLY IF YOU ARE OPEN TO RELOCATE
Key Responsibilities
- Design, train, and deploy
Computer Vision models
for detection, segmentation, tracking, and behavior understanding. - Optimize
inference pipelines
for real-time performance on
edge devices
(e.g., NVIDIA Jetson, Coral) and
cloud infrastructure
. - Collaborate with
data and product teams
to define new use cases, prototype solutions, and take models from lab to production. - Develop
synthetic data generation pipelines
and augmentation strategies to enhance robustness across lighting conditions, formats, and environments. - Research and integrate
state-of-the-art Vision Transformers (ViTs), Large Vision Models (LVMs), and Multimodal AI
into production workflows. - Work with
CCTV and multi-camera systems
for tracking, localization, and behavior analytics. - Build proof-of-concept systems, perform real-world validation, and continuously improve accuracy and performance.
Requirements
- 5–7 years
of experience in
Computer Vision and Deep Learning
with deployed production models. - Strong proficiency in
Python
and
PyTorch
; hands-on experience with
OpenCV, TensorRT, ONNX, or Triton
. - Proven expertise in
object detection/tracking models
such as
YOLO, Deep SORT, DINOv2
, or similar. - Experience with
real-time or low-latency processing
,
multi-threaded programming
, and
performance tuning
. - Experience deploying and optimizing models on
edge devices
(Jetson, Coral, etc.). - Demonstrated passion for
research, innovation, and emerging AI technologies
. - Experience in
3D modeling
or
video behavior analytics
is a plus.
ONLY CANDIDATES WITH THE REQUIRED SKILLS AND EXPERIENCE SHOULD APPLY TO THIS JOB
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