Technical Lead- Machine Learning and Computer Vision

Marketscope

qualifications:

- ms/. in computer science (ai/ml specialization) or equivalent. . degree is preferred

- in depth knowledge of different aspects of deep learning including architectural design (cnn, rnn, lstm,

dropout, pooling, etc.) and optimization

- familiarity with dl library such as caffe, tensorflow, theano, torch, etc. with strong hands on experience in at

least one (preferably two) of them

- proven programming skills in c/c++, python or other related languages

- experience in development and implementation of state-of-the art dl algorithm for diverse applications is a plus

- experience working with gpus and parallel programming (hpc and/or big-data platforms) is a plus - experience

in integrating machine learning with real-time computing including mobile apps is a plus - experience in

employing machine learning/deep learning in a commercial application is a plus - strong publication record (.

nips, icml, aaai, iclr) is a plus

- ability to work as a team, motivation for international collaboration, strong communication skills, self-motivated,

proactive, flexible and passionate about learning

responsibilities:

- research and develop novel deep learning architectures and algorithms

- evaluate state-of-the-art deep learning algorithms and advances in dl software frameworks

- build rigorous deep learning technologies applicable to computer vision domains, such as object detection in

videos, scene classifications, etc.

- design, develop, and optimize deep neural networks with the vision of applying to commercial products

- drive adoption of deep learning based systems into next-generation of products - demonstrate

success in the application of ml/dl to practical problems

- build prototypes of dl solution to show proof-of-concepts and transfer to business units

- write clean and re-usable code in programming languages such as, python, c/c++, etc.

• Experience

  3 - 9 Years

• No. of Openings

  1

• Education

  M.Sc, Ph.D/Doctorate

• Role

  Machine Learning Engineer

• Industry Type

  Recruitment Consulting / Staffing Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office