Research And Development Engineer

2 weeks ago


Bengaluru, Karnataka, India Quantiphi Full time

About the Company

Quantiphi is an award-winning AI-first digital engineering company, driven by a deep desire to

solve transformational problems at the heart of businesses. Our signature approach combines

groundbreaking machine-learning research with disciplined cloud and data-engineering

practices to create breakthrough impact at unprecedented speed.

Quantiphi has seen 2.5x growth YoY since its inception in 2013 to 3500+ team members

globally

For more details, please visit our website or page.

About the Applied Research Unit

Applied-Research is an R&D practice at Quantiphi, focused on unraveling the frontiers of Al

technologies with Applied ML at its core. With a multifaceted R&D strategy, we tackle ideating

and building innovative solutions to cutting edge challenges, with advanced prototyping and

scalable proofs of concept. Strengthened by the strategic partnerships working towards a

generalized goal, we strive to leverage and demonstrate the major advances in Al to understand

and transform the way humans collaborate with Al-systems in the near future.

The position involves working with a diverse, lively, and proactive group of nerds who are

constantly raising the bar on translating the latest AI research in Healthcare and Life

Sciences into tangible reusable assets for the community. Hence this would require a high

level of conceptual understanding, attention to detail and agility in terms of adaptation to

new technologies.

Role: Research Engineer

Experience : 2-4Years

Location : Bangalore/Mumbai

Must have:

● Education level: Master's or PhD.

● Background in Biotechnology/Bioinformatics

● Minimum work experience required : from new graduates to 3+ yrs of research experience

post graduation (in ML research)

● Excellent in-depth understanding of ML concepts and the respective underlying

mathematical know-how

● Hands-on experience with In silico techniques in drug discovery

● Working knowledge of using NLP with biological sequences

● Hands-on experience with HPC workflows with genome datasets

● Hands-on experience in developing and deploying models with various deep learning

architectures in multiple ML areas like Computer-Vision, NLP, Statistics etc

● Knowledge of Cloud-environments like GCP/AWS and ML frameworks like

TensorFlow/PyTorch, with good experience in large scale distributed training

● Excellent coding skills (Python advanced) and flexible mindset, with ability to quickly

switch between & adapt to newer concepts

● Ability to translate abstract highlights into understandable insights in multiple

knowledge-dissemination formats like blogs, presentations, paper-publications, tutorials and

webinars.

Good to have:

● Demonstrated industry research experience will be considered as an additional bonus.

● Prior R&D experience, and/or publications at top-tier ML conferences will be an

advantage.

● Strong classical education on math/physics/mechanics/CS/Engineering concepts will also

be an advantage.


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