
AI Researcher
7 days ago
We are seeking a highly skilled researcher to join our team as a Data Scientist in AI Research. The ideal candidate will have expertise in deep learning and natural language processing, with experience in developing large-scale predictive models.
Key Responsibilities:
- Data Analysis: Develop models to analyze user behavior patterns on OTT platforms and predict their likelihood of leaving, along with plausible reasons behind their behavior.
- Model Development: Build causal inference-based intervention models aimed at retaining users on the platform.
- Evaluation and Deployment: Contribute to developing and evaluating models leveraging pre-trained LLMs, and deploying them in production environments.
- Collaboration and Innovation: Work closely with other research scientists, engineers, and product teams to foster a collaborative and intellectually stimulating environment, contributing to the growth of a diverse pool of research and engineering talent.
- Knowledge Sharing: Contribute to the research community by sharing insights and participating in external academic workshops and conferences.
Essential Qualifications:
- Education: Pursuing or completed masters or bachelor's in computer science or similar background.
- Skills:
- A strong background in applied deep learning and machine learning, both in terms of conceptual understanding, as well as practical experience.
- A good understanding on handling large scale datasets with SQL.
- Understanding about current start 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.
Our Values:
- 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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