Computer Vision Engineer

Vision Logix

2 years

0 Lacs

trivandrum kerala india

Posted:13 hours ago| Platform:

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Skills Required

vision software development visual data learning electrical engineering programming tensorflow model training tuning research prototype deployment scaling containerization orchestration mobile aws azure gcp metrics inference

Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

Computer Vision (CV)

Role Description

We are looking for a skilled and passionate Computer Vision Engineer with 2+ years of professional experience to join our team. You will be responsible for designing, developing, and deploying robust computer vision and deep learning models for our products. This role is ideal for an engineer who is ready to take ownership of projects and contribute directly to production-ready systems.

Qualifications

Experience:

2+ years of professional experience
working as a Computer Vision Engineer or Machine Learning Engineer with a focus on computer vision.
Education:
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related quantitative field, or equivalent practical experience.
Programming Expertise:
Strong proficiency in
Python
and extensive experience with core computer vision libraries, primarily
OpenCV
.
Deep Learning Frameworks:
Hands-on experience with at least one major deep learning framework:
PyTorch
(preferred) or
TensorFlow/Keras
.
Model Development:
Proven experience developing, training, fine-tuning, and evaluating state-of-the-art computer vision models for real-world applications.
Maturity:
Experience taking a model from the research/prototype phase through to a production environment.

Bonus Considerations

Experience with
MLOps
principles and tools for automated model deployment, scaling, and monitoring.
Knowledge of
containerization technologies
such as
Docker
and orchestration tools like
Kubernetes
.
Experience optimizing models for specific platforms, such as
TensorRT
,
ONNX
, or mobile/edge frameworks.
Experience utilizing cloud computing platforms (e.g., AWS, Azure, GCP) for model training and deployment.
Strong understanding of performance metrics beyond simple accuracy, such as mAP, IoU, recall/precision trade-offs, and inference time.

Send your CVs to info@visionlogix.io

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