Staff Data Scientist - GenAI studios
Jiostar Open · verified Oct 22, 2026 At a glance
Senior AI Research role at Jiostar. Bengaluru.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and refine models that generate video from text or images, using approaches such as diffusion and transformers
- Create data pipelines for curation, preparation, training and evaluation, with automated checks for visual, temporal and semantic quality
- Take data science features from initial concept through production, tying delivery to strategic goals and business results
- Improve model testing and release workflows, then use A/B test results to refine performance and creative quality
- Set priorities with product, engineering and senior leaders, and share technical guidance on emerging GenAI work
What you bring
- At least seven years of hands-on data science work, including recent experience with GenAI, especially audio or video
- A master's or doctoral degree in computer science, statistics, mathematics or another related quantitative field
- Practical knowledge of generative deep learning and LLM fine-tuning, prompt design and foundation-model evaluation
Who this fits
This senior role suits an experienced data scientist who can lead complex generative AI work independently and carry it into production. You’ll work with product managers, engineers and senior leaders, and may represent the team in technical forums.
From the employer
Job Summary: As a Staff Data Scientist with expertise in the GenAI stack (audio & video generation models), you serve as a strategic thinker who can independently execute complex projects and deliver actionable insights and solutions. The ideal candidate will possess a profound understanding of data science methodologies and a proven track record of driving business growth through data-driven strategies.
About the team: We’re an AI native, agile & fast-moving team focused on turning bold ideas into impactful products. From rapid prototyping of new concepts to building scalable platforms that power future growth, we thrive on experimentation and innovation. Our platform highlights creators and their narratives by giving them AI-powered systems using advanced machine learning and multimedia pipelines. As part of this team, you’ll work at the intersection of creativity and technology — building end-to-end experiences, experimenting with emerging tech, and shaping the future of entertainment content.
Key responsibilities:
Design, prototype, and refine deep learning models for text-to-video and image-to-video generation using cutting-edge techniques in generative AI (e.g., diffusion models, transformers, temporal GANs)
Develop robust pipelines for dataset curation, preprocessing, training, and model evaluation, including automated visual, temporal, and semantic quality metrics
Lead data science features from concept to production, ensuring they meet strategic goals and deliver tangible business outcomes. Invest in and enhance model development, testing, and release pipelines for efficient and reliable deployment
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 curve in the fast-moving GenAI space; guide strategy, share insights internally, and represent the team in technical forums as needed
Skills and attributes for success
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 use-cases for multimodal generation
Preferred understanding of computer vision, natural language processing, and multimodal learning
Strong exposure to ML evaluation techniques, including perceptual quality metrics and user-in-the-loop testing
Proficiency in programming languages such as 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.
Preferred education and experience:
Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field with 7+ years hands-on experience in data science, with last few years working with GenAI stack, especially audio & video modalities