Radome Technologies provides AI-powered systems to improve reliability and reduce downtime in critical operations. It builds AI models from operational data and integrates ML, DL, Generative AI, and…
Radome Technologies provides AI-powered systems to improve reliability and reduce downtime in critical operations. It builds AI models from operational data and integrates ML, DL, Generative AI, and…
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Job Title: Computer Vision Engineer
Experience:
2–3 Years
Location:
Onsite – Bengaluru
Company:
Radome Technologies
About the Role
Radome Technologies is looking for a passionate
Computer Vision Engineer
to join our team and work on cutting-edge AI and vision-based solutions. The ideal candidate will have experience in building, optimizing, and deploying computer vision models using modern deep learning frameworks.
This role involves working closely with
AI researchers, data scientists, and software engineers
to develop scalable computer vision systems for real-world applications.
Key Responsibilities
Design, develop, and deploy
for image and video analysis.
Required Skills
Good to Have
Experience with
model deployment (Docker, REST APIs, cloud platforms)
.
Knowledge of
edge AI or real-time video processing
.
Experience working with
large-scale datasets and annotation tools
.
Exposure to
MLOps pipelines
.
Educational Qualification
Bachelor’s or Master’s degree in
Computer Science, Artificial Intelligence, Data Science, or related field
.
What We Offer
Opportunity to work on
innovative AI and computer vision technologies
.
Collaborative and fast-paced
startup environment
.
Exposure to
real-world AI product development
.
Career growth in a cutting-edge
AI-driven organization
.
computer vision and deep learning models
Implement algorithms for
object detection, tracking, classification, segmentation, and recognition
.
Work with large datasets for
data preprocessing, annotation, and model training
.
Optimize models for
performance, accuracy, and real-time inference
.
Collaborate with cross-functional teams to integrate vision models into
production systems and APIs
.
Evaluate model performance and continuously improve through experimentation and tuning.
Stay updated with the latest research and advancements in
computer vision and AI
.
2–3 years of experience in
Computer Vision / Machine Learning / Deep Learning
.
Strong programming skills in
Python
.
Hands-on experience with
OpenCV, PyTorch, or TensorFlow
.
Experience working with
CNNs, object detection models (YOLO, Faster R-CNN, SSD), and image classification models
.
Understanding of
image processing techniques and video analytics
.
Experience with
data pipelines, model training, and evaluation
.
Familiarity with
Git and collaborative development workflows
.
