Live opening · Posted 7 hours ago

Computer Vision Engineer

Infosys · Bengaluru, Karnataka, India (Hybrid)
Linkedin Hybrid
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyInfosys
LocationBengaluru, Karnataka, India (Hybrid)
Work modeHybrid
SkillsComputer Vision, Python, Azure, TensorFlow, PyTorch
SourceLinkedin
ListedPosted 7 hours ago

About the role

Description supplied by the original job listing.

Computer Vision Lead | 5-9 Years | Bangalore
Are you passionate about building next-generation AI solutions that can see, understand, and interpret the world? Join Infosys as a Computer Vision Lead and work on cutting-edge Computer Vision, Generative AI, Image Processing, and Azure AI solutions for global enterprises.
Role: Computer Vision Lead
📍 Location: Bangalore 💼 Experience: 5 - 9 Years
Key Responsibilities
Design and develop advanced Computer Vision and Image Processing solutions.
Build and deploy Object Detection, Image Classification, Segmentation, and Recognition models.
Develop AI-powered applications leveraging Azure Computer Vision and Azure AI Services.
Work on Generative AI use cases involving image and video processing.
Lead end-to-end model development, training, evaluation, optimization, and deployment.
Collaborate with business stakeholders, data scientists, and engineering teams to deliver scalable AI solutions.
Mentor junior team members and drive technical excellence across projects.
Required Skills
✅ Strong hands-on experience in Computer Vision and Image Processing ✅ Expertise in Object Detection & Recognition techniques ✅ Strong programming experience in Python ✅ Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenCV ✅ Hands-on exposure to Azure Computer Vision and Azure AI Services ✅ Knowledge of model deployment, optimization, and MLOps practices
Preferred Skills
Experience in Generative AI for Images and Videos
Exposure to Azure Machine Learning and AI Foundry
Knowledge of Deep Learning, CNNs, Vision Transformers (ViTs)
Experience with cloud-native AI deployments
Strong analytical and problem-solving skills
Educational Qualification
BE / BTech / BCA / BSc / ME / MTech / MCA / MS

Work arrangement
Hybrid

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