AI Researcher: Next-Generation Machine Learning Solutions
1 week ago
About Quantiphi:
We are an award-winning AI-first digital engineering company driven by a desire to solve transformational problems at the heart of businesses. Our approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
We have seen 2.5 x growth YoY since our inception in 2013, growing to 4000+ team members globally. For more details visit http://www.quantiphi.com/
About the Role:
As a Senior Research Engineer at Quantiphi's Applied-Research practice, you will be focused on unraveling the frontiers of AI technologies with Applied ML at its core. You will tackle ideating and building innovative solutions to cutting-edge challenges, with advanced prototyping and scalable proofs of concept.
Role Level: Senior Research Engineer
Job Location: BLR/Mumbai
Key Responsibilities:
- Stay ahead of the AI maturity curve, focusing on upcoming areas of AI research, curate new ideas and explore multiple areas of Al research.
- Build rapid prototypes and conduct detailed experimental studies to prove concepts in multiple ML and Engineering domains like Computer-Vision, NLP, Reinforcement Learning, Physics-Informed Neural Networks, Simulations etc.
- Work with experienced researchers and engineers to build cutting-edge solutions, benchmark various novel baselines and models.
- Contribute to Q's growth through new ideas, reusable building blocks/assets, and IP/patents.
- Enhance company brand through thought leadership, document the knowledge gained and disseminate to broader audience in multiple formats, working on technical content creation, publication, in conjunction with content-team and program managers.
Requirements:
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 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 Requirements:
- Education level: Master's or PhD
- 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 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 largescale 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
Estimated Salary Range: ₹1500000 - ₹3000000 per annum based on qualifications and experience
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