Research Engineer
- Quantiphi Analytics
- 3 - 8 years
- Mumbai
- 6 months ago
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Job Description
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.
Must have:
- Education level: masters 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 ,LLM, chat-GPT, 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.
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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: Quantiphi AnalyticsLocation(s): Mumbai+ View Contact
Keyskills: Industry research Computer vision deep learning Coding GCP Healthcare Life sciences Bioinformatics Catering Python
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