
Artificial Intelligence Research Expert
4 days ago
We are seeking a highly motivated research scientist to join our team in developing and deploying cutting-edge predictive models for large-scale user engagement.
The ideal candidate should have prior experience in deep learning, natural language processing, and working with large datasets.
- Developing models to analyze user behavior patterns on OTT platforms and predicting their likelihood of leaving along with plausible reasons behind their behavior.
- Building causal inference-based intervention models aimed at retaining users on the platform.
- Contributing to developing and evaluating models leveraging pre-trained LLMs.
- Working closely with other research scientists, engineers, and product teams fostering a collaborative and intellectually stimulating environment.
- Contribute to millions of OTT platform users towards improving their experience by leveraging AI capabilities.
- Contribute to the research community by sharing insights and participating in external academic workshops and conferences.
Essential Qualifications:
- Prior experience in applied deep learning and machine learning, both in terms of conceptual understanding as well as practical experience.
- A good understanding of handling large scale datasets with SQL.
- Understanding about current state of the art machine learning literature.
- Prior experience in developing large scale prediction and reasoning models.
- Strong knowledge and interest in LLMs (fine-tuning, training and using LLMs).
- Proficiency in hands-on with Python and one or more popular deep learning framework.
- Ability to envision new ideas and proving them through theory and/or experiments.
Good to Have Skills:
- 0-1 year of work experience in building and deploying large-scale predictive models in production.
- 0-1 year of work experience in LLM/NLP projects within a start-up environment.
- Good publication record, with publications in major machine learning conferences.
- Dreams & Curiosity: Pioneer the future with dreams and curiosity.
- Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints.
- Integrity & Sincerity: Earn the trust for our brand through ethical and responsible conduct.
- Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices.
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