AI Engineer

Requirements: 1.
Experience : 2.
5 to 4 years.
Responsibilities.
Collaborate closely with the AI team to research, develop, evaluate, and optimize computer vision and deep learning models.
Assist in analyzing unstructured data such as images through image processing techniques using OpenCV.
Contribute to driving computer vision solutions to meet customer requirements.
Support in deploying computer vision models into production and participate in optimization efforts.
Expand knowledge in deep learning algorithms and model families.
Contribute to building production-ready deep learning models.
Skills.
Proficiency in Python and related packages like numpy, scikit-image, PIL, OpenCV, matplotlib, seaborn, etc for image processing and data processing.
Familiarity with machine/deep learning frameworks like TensorFlow, Keras, or PyTorch.
Ability to read and implement related academic papers in computer vision and deep learning.
Experience in training models through GPU computing using NVIDIA CUDA or on the cloud and on premises servers.
Must have good Object-Oriented Programming & logical analysis skills in Python.
Should have worked on atleast 2 technologies like Object Detection, Image Classification, Object Tracking, Face detection recognition, OCR.
Preferred Skill.
Experience with model inference libraries like Onnx, Onnxruntime.
Exposure to cloud computing environments like AWS or Azure.
Experience with model serving using Flask/Flask API, torchserver.
Qualification.
Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or related fields.
2 years of experience in computer vision and/or deep learning.
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