Intern

Job description

3400427
Additional Cities

Bengaluru
Career Level

Co-op/Intern
Relocation Assistance

No
Business

GE Healthcare
Business Segment

Healthcare Digital Platform & Solutions
Function

Engineering/Technology
Country/Territory

India
Postal Code

560 066
Role Summary/Purpose

This role expects the candidate to Lead design and development of computer vision algorithms, apply supervised and unsupervised deep learning models to clinical images and work with other vision scientists and SW engineers to deliver deployable technology while seeking creative ways to streamline medical workflows.
Essential Responsibilities

• Design and development of Artificial neural networks with transfer learning, deep learning, reinforcement learning, recurrent learning, and inverse problems
• Should also develop automations tools for annotation & labeling, training, and inferencing on camera video data and medical DICOM data
• Investigate and quantify various deep learning models for video analytics and medical image analytics
Qualifications/Requirements

-BE/BTech in Electrical Engineering/Electronics and communication engineering/Computer science/Biomedical engineering with specialization in video analytics, medical imaging, image processing, computer vision, or inverse problems. The Master’s candidate with proven research credentials in the fields of AI are also highly encouraged to apply.
Desired Characteristics

• Strong knowledge on video analytics and medical imaging
• Must ability the ability design and code deep neural hybrid, feed forward, and feedback neural networks from first principles
• Excellent programming skills on Python, C++,and CUDA programming
• Hands on TCL scripting
• Experienced on PyCharm IDE, Jupyter notebook
• Strong Problem Solving & reverse engineering skills
• Knowledge computer vison tools such OpenCV, Open Pose
• Strong Knowledge on GPU based optimization techniques such as TesnorRT
• Must have excellent debugging and problem solving skills
• Strong GPU knowledge such as loading tensor flow/keras model into GPU, communication of model throughput to cpu, writing the GPU inferencing output to CPU memory
• Multi-threading and inter process communication using CUDA
About Us

GE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE’s mission and deliver for our customers. www.ge.com
Primary Country

India
Primary State/Province

Karnataka
Primary City

Bengaluru