Research And Development Engineer
2 weeks ago
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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