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Computer Vision-AI Platform Engineer
Computer Vision-AI Platform Engineer
The AI Platform Engineer will be responsible for developing AI-powered applications and systems, with a focus on computer vision and image processing. This includes creating algorithms for object identification and classification, integrating application requirements, and contributing to technical architecture decisions.
About the role
Project Role
AI Platform Engineer
Project Role Description
Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Key Responsibilities
- Develop methods for acquiring, processing, analyzing, and understanding images.
- Develop algorithms and applications related to image processing that perform functions such as object identification and classification.
- Review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements.
- Review and integrate the Technical Architecture requirements.
- Provide input into final decisions regarding hardware, network products, system software, and security.
Technical Experience
- Open source ML libraries and tools like Apache Mahout, Apache Spark.
- Torch / Theano / Sound understanding in the areas of Computer Vision / Pattern Recognition.
- Strong background in Data Science, data structures, statistics, algorithms like Regression, Classification etc.
- Must have Skills: Image Recognition / TensorFlow / OpenCV.
- Deep-learning Neural Networks skills in Python / Python / Hands-on experience in varied Neural Network Models.
Professional Attributes
- Good in communication.
- Good in Team Handling.
Minimum Requirements
- 7.5 Years Of Experience Is Required.
- Educational Qualification: BE.