Research Scientist (Deep Learning) - AI & ML

Research Scientists focus on problems in computer cognition, data mining, machine learning, and natural language comprehension, from experimenting and prototyping to developing new learning algorithms. AI Research scientists plan, experiment, and implement various AI and deep learning algorithms to provide proof of concepts (PoCs) for AI-based goods.

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Pranav Kapoor

Head of DevOps

10 Years of Industry Experience

With 10 Years of experience in Software Development, Pranav has developed and deployed different websites like AFKGaming, Par - Pat Industries, Kaamna Photography, Legendary Strike. He has working experience in building scalable infrastructure on kubernetes, build and deployment automation, magnified observability. His expertise lies within front-end development, progressive enhancement, performance optimization, Artificial Intelligence, Machine Learning, DevOps. He is also a guest Lecturer for "Open Source Software" at Mody Institute of Technology and one of the founding members of Linux User Group, Jaipur.

KEY SKILLS

  • Big data

  • Artificial intellegence

  • Machine learning

  • Natural processing

PROS

  • Job Market in good shape

  • High payscale

  • Diverse field to work 

  • Fast track to research

CONS

  • Stressful work

  • Time-consuming

  • Requires highly specialised training and achievement records

OPPORTUNITY TYPES

GOT WHAT IT TAKES?

  • Companies 

  • Freelance

  • Someone who's interest lies in deep learning

  • Coding knowledge

KEY OPPORTUNITIES

Books

Podcasts

Networking Groups

Interesting Facts about the career

  • Since deep learning is new in the technology, it requires a lot of support and resources.

  • It is part of machine learning

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