Computer Vision Engineer

Job Title:

Experience Required:

Notice Period:

Location:

Computer Vision Engineer

Key Responsibilities

1. Deep Learning Development (Computer Vision and NLP):

• Design and implement deep learning algorithms, computer vision, and NLP models.
• Work on OCR projects, focusing on text extraction from scanned PDFs.
• Train, test, and deploy models for object detection, image classification, and more using state-of-the-art techniques like CNNs and transfer learning.
• Optimize models for real-time processing on various platforms, including edge devices and cloud systems.

2. Model Deployment and Maintenance:

• Deploy and monitor AI models in production environments, ensuring scalability and reliability.
• Continuously improve models through analysis, fine-tuning, and user feedback.
• Develop APIs to expose machine learning models for seamless integration.

3. Software Development:

• Write clean, efficient, and maintainable code to support AI workflows.
• Collaborate with cross-functional teams to integrate AI solutions into applications.
• Document code and processes for reproducibility and transparency.

4. Collaboration & Stakeholder Management:

• Partner with developers, product managers, and stakeholders to ensure AI solutions align with business needs.
• Present findings and model performance to non-technical stakeholders.

5. Research & Innovation:

• Stay updated on the latest trends in computer vision, deep learning, and NLP.
• Experiment with emerging technologies to enhance system performance and features.

Required Skillset

• Strong programming skills in

  Python

  , and experience with frameworks like

  TensorFlow

  ,

  Keras

  ,

  PyTorch

  , and

  YOLO

  .
• Proficiency in CNN, RNN, GANs, and libraries such as Pandas and NumPy.
• Expertise in OCR, image classification, object detection, and transfer learning.
• Experience with

  Azure

  , Git, CI/CD practices, data structures, algorithms, and API development.
• Strong problem-solving and collaboration skills.

Why Join Us?

• Work on groundbreaking AI projects.
• Collaborate with a dynamic and innovative team.
• Opportunity to influence the development of AI-driven software features.

If you're ready to make an impact with your expertise in computer vision and AI, apply now!