Data Scientist II

Overview

Research, analyze, and develop advanced video generation models to enhance JioStar's content production, driving 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 curve in the GenAI space, guide strategy, share insights internally, and represent the team in technical forums as needed.

What you'll need

• Strong understanding of LLMs, with hands-on experience in fine-tuning, prompt engineering, and evaluating foundation models for applied multimodal generation use-cases.
• Proven experience with deep learning architectures for generative tasks (e.g., diffusion models, transformers, GANs).
• Solid understanding of computer vision, natural language processing, and multimodal learning.
• Experience with training large-scale models, transfer learning, and fine-tuning on custom datasets.
• Familiarity with ML evaluation techniques, including perceptual quality metrics and user-in-the-loop testing.
• Knowledge of model deployment and performance tuning in production environments.
• Hands-on experience building and optimizing text-to-video, image-to-video, or similar generative pipelines.
• Hands-on experience with Python, SQL, and TensorFlow/PyTorch for implementing and evaluating algorithms.
• Excellent communication skills; able to present complex concepts clearly to technical and non-technical stakeholders.
• Experience with experimental design and A/B testing methodologies.
• Strong leadership capabilities with demonstrated experience mentoring junior data scientists.
• Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field with 2-4 years of experience in data science/machine learning.

Details

• Location: Bengaluru (We Work).