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Artificial Intelligence (AI) work from home job/internship at Reflective AI

Artificial Intelligence (AI)

Reflective AI

Work From Home

Start Date Duration Stipend Posted On Apply By
3 Months ₹15000 /Month 13 Aug'19 18 Sep'19
About Reflective AI (https://reflective.ai):
At Reflective AI, we are building the future of industrial automation using self-learning decision making systems. Industrial processes today are inefficient and use legacy software from decades ago. This leads to reduced productivity and increased costs. Our mission is to bring transformation to the industrial sector through solutions that provide the autonomous decision making capability, leveraging our expertise in deep learning, neural networks, IIoT, and embedded vision.
About the work from home job/internship:
This description is for a remote deep learning internship position at a fast-growing startup in Silicon Valley, USA. Successful candidates will develop computer vision algorithms that automatically extract actionable insights from video. The internship can lead to a full-time offer based on satisfactory performance.

Selected intern's day-to-day responsibilities include:

1. Develop deep learning and/or traditional image processing algorithms for video analysis of unstructured environments
2. Pre-process data, develop algorithms, train models
3. Prototype and develop algorithms for use in a high-throughput vision processing pipeline
4. Develop production machine learning architectures for performance and scalability
5. Write production code and deploy into industrial environments
# of jobs/internships available: 1
Skill(s) required: OpenCV, Python (Learn Python), Image Processing, Computer Vision, C++ Programming (Learn C++ Programming) and Deep Learning
Who can apply:
Only those candidates can apply who:
  1. are available for the work from home job/internship
  2. can start the work from home job/internship between 9th Aug'19 and 18th Sep'19
  3. are available for duration of 3 months
  4. have relevant skills and interests
Other requirements:
  1. Should have an MS or Ph.D. in computer science
  2. Should have 3+ years of experience in computer vision and machine learning
  3. Should have background and expertise with object segmentation, classification, detection, and multi object tracking
  4. Should have prior knowledge of LSTMs and video action recognition algorithms is a HUGE plus
  5. Should have the capability with deep learning frameworks (e.g., Caffe, Keras, TensorFlow )
  6. Should have mastery of C++ or Python
  7. Should have experience building data pipelines
  8. Should have familiarity with software design best-practices, test-driven development, and frequent end-to-end testing
  9. Should have mastery of OpenCV and computer vision algorithms such as SIFT, HOG, and edge detection
Certificate, Letter of recommendation, Flexible work hours.

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