Deep Learning (C ) Intern

Quidich Innovation Labs is a global company headquartered in Mumbai, India that pioneers in customized technology solutions for Sports Broadcast. From the outset, we have believed in the power of the story that sport tells as a tool to bring people together; and that this story best reaches fans, through the way it is broadcast. Building on this thinking, we have created various technology tools over the past five years and deployed them at tournaments such as the Indian Premier League, ICC Mens T20 World Cup, ICC Womens World Cup, and Men&aposs FIH Hockey World Cup, to name a few.

Role

As a DL Intern at Quidich, you will embark on an exciting journey in the world of sports technology and play a vital role in assisting the technology team to work on global projects. You will be a member of our Product Team and solve real-world problems through a process of prototyping, implementation, measurement, and iteration. You will be assisting in researching the latest developments in computer vision/deep-learning/machine learning, and understanding what works best for our users. You will also be assisting in developing models, techniques, and tools and integrating new capabilities into Quidichs AI platforms.

Responsibilities

• Working with the research team to develop, evaluate, and optimize various state-of-the-art algorithms.
• Helping in developing new frameworks/features, and improving performance and stability for the full product development life cycle.
• Designing, building, and maintaining high-performance, reusable, scalable, and reliable code.
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  Carrying out the necessary documentation, reviews, evaluation metrics, bug reports, and quality tests for the product and the developed components/features.
• Demonstrating best presentation skills for showcasing results, team spirit, and effective communication.
• Learning and constantly updating yourself on the emerging trends of technology and applying them in projects for better results.

Qualifications, Skills, and Competencies

• Pursuing a degree in Computer Science or related field.
• Strong understanding of Computer Vision, Deep Learning, and related technologies.
• Knowledge of NN frameworks such as TensorFlow, Keras, Caffe, or Torch.
• Solid grasp in C++, oop concepts, data structures and algorithms.
• Experience with Github, Docker or AWS is a plus.

Reporting To: Product Lead

Joining Date: Immediate

Interested candidates, please send your CV to [HIDDEN TEXT]