Computer Vision Engineer
3 days ago
Job Title:
Computer Vision Developer (1+ Year Experience)
Job Type:
Long Term Onsite
Job Description:
We are looking for a talented and motivated
Computer Vision Developer
with at least
1+ year of experience
in developing and implementing computer vision algorithms. You will work on creating solutions for image processing, object detection, and other visual data analysis tasks. As part of our team, you'll collaborate with other developers and researchers to build intelligent systems using modern deep learning techniques and tools.
Key Responsibilities:
- Develop and implement
computer vision algorithms
for various applications such as
image classification, object detection, and face recognition
. - Utilize libraries like
OpenCV
,
TensorFlow
,
PyTorch
, and
Keras
to develop and optimize computer vision models. - Perform
data preprocessing
, including image enhancement, noise reduction, and feature extraction, to improve model accuracy. - Assist in
deploying machine learning models
into production environments (e.g., integration into mobile or web applications). - Work with large image datasets, managing data annotation and augmentation for training purposes.
- Collaborate with cross-functional teams to improve algorithms and ensure the implementation of best practices in AI development.
- Stay up-to-date with the latest research and trends in
computer vision
and related fields.
Requirements:
- Bachelor's degree
in
Computer Science, AI, Data Science, or related field
. - At least
1+ year of hands-on experience
in
computer vision
development. - Strong programming skills in
Python
, with experience in relevant
CV libraries
(OpenCV, NumPy, Matplotlib). - Familiarity with
deep learning frameworks
like
TensorFlow
,
PyTorch
, and
Keras
. - Experience with
image processing
techniques such as
feature extraction, filtering, and image enhancement
. - Strong problem-solving and analytical skills.
- Ability to work both independently and as part of a collaborative team.
Preferred Skills:
- Knowledge of
object detection models
like
YOLO
or
SSD
. - Familiarity with
machine learning model deployment
tools (e.g.,
Flask
,
FastAPI
,
Docker
). - Exposure to
cloud platforms
(AWS, Azure, GCP) and model deployment in cloud environments. - Understanding of
MLOps
and best practices for developing scalable AI systems.
What We Offer:
- Competitive salary and benefits.
- Opportunities to work on cutting-edge projects in
computer vision
and
AI
. - A collaborative and supportive work environment.
- Continuous learning and growth opportunities within the AI field.
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