Computer Vision Engineer

Infosys Limited
Applicants0
Posted15 days ago

Job Highlights

Experience0 - 6 Yrs
Salary10-11 LPA
LocationVishakhapatnam
Work ModelRemote
RoleComputer Vision
Openings1
EmploymentInternship
EducationMCA

Required Skills

PythonOpenCVTensorFlowPyTorchDeep LearningImage ProcessingObject DetectionImage SegmentationMachine LearningData AugmentationCloud Platforms (AWS/Azure/GCP)Problem-solvingCommunication SkillsTeamwork

Job Description

Role Summary:
We are seeking a talented and motivated Computer Vision Engineer to join our AI and Data Sciences team. You will be responsible for designing, developing, and deploying cutting-edge computer vision solutions that address complex business challenges for our clients. This role involves working with large datasets, state-of-the-art algorithms, and cloud platforms to deliver impactful results.

Key Responsibilities:
- Design, develop, and implement computer vision algorithms and models for tasks such as object detection, image segmentation, facial recognition, and pose estimation.
- Collaborate with data scientists and software engineers to integrate computer vision models into larger applications and systems.
- Preprocess and augment large image and video datasets for model training.
- Evaluate and optimize model performance, ensuring accuracy, efficiency, and scalability.
- Stay up-to-date with the latest research and advancements in computer vision and deep learning.
- Develop and maintain robust code, documentation, and testing procedures.
- Contribute to the entire ML lifecycle, from data collection and model training to deployment and monitoring.

About Infosys Limited

Infosys is a global leader in next-generation digital services and consulting, helping clients in over 50 countries to navigate their digital transformation. We partner with our clients to conceptualize, build and run more innovative and efficient businesses. We are a publicly traded company headquartered in Bangalore, India, and have been recognized for our commitment to sustainability and corporate social responsibility.

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