Akkodis
Sr. Machine Vision Engineer Data Scientist
Akkodis, Delray Beach, Florida, United States, 33483
Sr. Machine Vision Engineer / Data Scientist
Location: Delray Beach, FL (on‑site). This role is for a Senior Machine Vision Engineer/Data Scientist.
Base pay: $70.00/hr – $90.00/hr.
Additional compensation: Annual Bonus and Sign‑on Bonus.
Project Scope
Design, develop, and maintain software for machine vision cameras, ensuring high performance and reliability across Linux and Windows platforms.
Work on cross‑platform programming with a strong emphasis on
C/C++ 17
and the
Qt
framework.
Develop and optimize code for
video processing (FFmpeg)
and
image analysis
using
OpenCV .
Collaborate with a multidisciplinary team to create innovative solutions for machine vision applications.
Requirements
Ph.D., MS/BS in Engineering, Computer Science, Electrical Engineering, Physics, or a related technical field.
Strong knowledge and experience in
OOP C/C++ 17.
Proficiency in the
Qt
(embedded GUI) framework on cross‑platform Linux and Windows.
Experience with
Ffmpeg , and
GStreamer
for handling video files and streaming.
Familiarity with
OpenCV
for image and video processing.
Experience with version control tools: Git, SVN.
Knowledge of OSI Model, Ethernet, UDP for camera communication.
***MUST have either a U.S. Citizenship, GC, or EAD***
Highly Preferred
Knowledge of
PTP (IEEE‑1588)
network protocol.
Experience with
AI frameworks
and libraries:
PyTorch, TensorFlow,
and
YOLO
for implementing advanced vision and detection capabilities.
Python
and
.NET (C# or VB.NET)
for supplementary development tasks. Experience with
CMake
for managing the build process.
Equal Opportunity Employer / Veterans / Disabled.
Contact: Bob A. Russ, MBA. Phone: 818‑568‑6948.
#J-18808-Ljbffr
Base pay: $70.00/hr – $90.00/hr.
Additional compensation: Annual Bonus and Sign‑on Bonus.
Project Scope
Design, develop, and maintain software for machine vision cameras, ensuring high performance and reliability across Linux and Windows platforms.
Work on cross‑platform programming with a strong emphasis on
C/C++ 17
and the
Qt
framework.
Develop and optimize code for
video processing (FFmpeg)
and
image analysis
using
OpenCV .
Collaborate with a multidisciplinary team to create innovative solutions for machine vision applications.
Requirements
Ph.D., MS/BS in Engineering, Computer Science, Electrical Engineering, Physics, or a related technical field.
Strong knowledge and experience in
OOP C/C++ 17.
Proficiency in the
Qt
(embedded GUI) framework on cross‑platform Linux and Windows.
Experience with
Ffmpeg , and
GStreamer
for handling video files and streaming.
Familiarity with
OpenCV
for image and video processing.
Experience with version control tools: Git, SVN.
Knowledge of OSI Model, Ethernet, UDP for camera communication.
***MUST have either a U.S. Citizenship, GC, or EAD***
Highly Preferred
Knowledge of
PTP (IEEE‑1588)
network protocol.
Experience with
AI frameworks
and libraries:
PyTorch, TensorFlow,
and
YOLO
for implementing advanced vision and detection capabilities.
Python
and
.NET (C# or VB.NET)
for supplementary development tasks. Experience with
CMake
for managing the build process.
Equal Opportunity Employer / Veterans / Disabled.
Contact: Bob A. Russ, MBA. Phone: 818‑568‑6948.
#J-18808-Ljbffr