Research AI Innovator
1 week ago
Company Overview
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.
We have seen 2.5x growth YoY since our inception in 2013, growing to over 4000 team members globally.
Salary
The salary for this position is estimated to be around ₹50-80 lakhs per annum, depending on experience and location.
Job Description
This is a great opportunity to work on cutting-edge topics within our growing Applied Research team. You will investigate some of the latest trends in artificial intelligence, espousing the state of the art deep learning techniques, LLMs, knowledge graphs, etc., develop proof of concepts, prototypes, publish your work, and produce Intellectual Property (IP).
Responsibilities:
- Stay ahead of the AI maturity curve, focusing on upcoming areas of AI research, curate new ideas and upcoming research areas, explore multiple areas of AI research
- Build rapid prototypes and conduct detailed experimental studies to prove concepts at the intersection of ML, Engineering, and Operations Research (OR)
- Work with experienced researchers and engineers to build cutting-edge solutions, benchmark various novel baselines and models using multi-objective optimization and reinforcement learning
- Contribute to our growth through new ideas, reusable building blocks/assets, and IP/patents
- Enhance our company brand through thought leadership, document the knowledge gained, and disseminate to a broader audience in multiple formats, working on technical content creation, publication, in conjunction with the 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, 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 adapting to new technologies.
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