logo

eSiMaa Tech solutions

AI Computer Vision (CV) Engineer

Department
Engineering
Job Type / Location
Bengaluru
Experience Required
0+ years
Posted On

Company Description

eSiMaa Tech Solutions’s connectivity platform has garnered attention for its potential impact on various industries, including government, healthcare, autonomous vehicles, drones, robotics Industry. The company specializes in software, wireless connectivity design, Computer vision and machine learning solutions. Their mission is to make AI computer vision learning effortless for users, particularly at the embedded edge.

Role Description

This is a full-time on-site role for an AI Computer Vision (CV) Engineer. The AI Computer Vision (CV) Engineer will be responsible for designing and implementing computer vision and machine learning algorithms, as well as optimizing AI models for efficient hardware implementations. The AI Computer Vision (CV) Engineer will also collaborate with cross-functional teams to identify business opportunities and provide customized solutions, and will work closely with data scientists and software engineers to integrate computer vision and machine learning algorithms into existing systems. This role is located in Bengaluru.

Qualifications

  • Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field
  • Strong proficiency in programming languages like Python, C++, and Java
  • Demonstrated expertise in computer vision and machine learning algorithms such as Object Detection, Semantic Segmentation, and Pose Estimation
  • Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
  • Proficiency in image processing libraries such as OpenCV and Dlib
  • Experience with embedded systems, hardware acceleration, and parallel programming techniques
  • Excellent knowledge of algorithms, pattern recognition, and statistical learning
  • Ability to communicate complex technical ideas to both technical and non-technical audiences, and work effectively in cross-functional and collaborative teams
  • Experience with research or publications in computer vision or machine learning is a plus

View Assessment Process

Think you'll be a good fit?