Overview
Lead research, analysis and development of advanced text-to-video and image-to-video generation models to improve JioStar's content production and drive measurable gains in user engagement, satisfaction and retention.
What you'll do
- Design, prototype and refine deep learning models for text-to-video and image-to-video generation using generative AI techniques (e.g., diffusion models, transformers, temporal GANs).
- Collaborate with 3rd-party AI vendors to evaluate their capabilities, run quality benchmarks and drive technical integration where applicable.
- Lead the creation of in-house solutions to augment 3rd-party offerings, focusing on video quality, generation time and content relevance.
- Develop robust pipelines for dataset curation, preprocessing, training and model evaluation, including automated visual, temporal and semantic quality metrics.
- Work closely with product managers, engineering teams and senior leadership to define use cases, set priorities and bring production-grade AI systems to life.
- Run A/B tests, iterate based on performance feedback and ensure alignment with product experience goals and creative quality standards.
- Stay ahead of the GenAI space, guide strategy, share insights internally and represent the team in technical forums as needed.
What you'll need
- Proven experience with deep learning architectures for generative tasks (e.g., diffusion models, transformers, GANs).
- Strong understanding of LLMs, with hands-on experience in fine-tuning, prompt engineering and evaluating foundation models for applied multimodal generation use-cases.
- Strong exposure to ML evaluation techniques, including perceptual quality metrics and user-in-the-loop testing.
- Proficiency in Python, R and SQL.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud).
- Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders.
- Master's or PhD in Computer Science, Statistics, Mathematics or related quantitative field, with 4+ years of hands-on experience in data science, the last few years working with the GenAI stack, especially audio and video modalities.
Nice to have
- Understanding of computer vision, natural language processing and multimodal learning.
- Master's or PhD in Computer Science, Statistics, Mathematics or related quantitative field, with 4+ years of hands-on experience in data science, the last few years working with the GenAI stack, especially audio and video modalities.
Details
Read the full description and apply on the company’s own careers page.