ML AI R&D

Requirements: 3

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:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related fields.

• 2 years of experience in computer vision and/or deep learning.