{"id":101376,"url":"https://alion.io/job/jio-star-staff-data-scientist-genai-studios","title":"Staff Data Scientist - GenAI studios","company":{"id":8901,"name":"JioStar","domain":"jiostar.com","url":"https://alion.io/company/jio-star","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":45,"ghost_share":0,"stale_share":0.911,"repost_share":0.022,"time_to_fill_p50_days":43,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":58000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Computer Vision","optional":false},{"name":"Diffusion Models","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-06-01T00:00:00Z","employer_posted_date":"2026-06-01","last_verified_at":"2026-10-19T07:34:06Z","board_verified":true,"closed_at":null,"days_open":140,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":140},"description":"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.\nAbout 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.\nKey responsibilities:\nDesign, 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)\n\nDevelop robust pipelines for dataset curation, preprocessing, training, and model evaluation, including automated visual, temporal, and semantic quality metrics\n\nLead 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\n\nWork closely with product managers, engineering teams, and senior leadership to define use cases, set priorities, and bring production-grade AI systems to life\n\nRun A/B tests, iterate based on performance feedback, and ensure alignment with product experience goals and creative quality standards\n\nStay ahead of the curve in the fast-moving GenAI space; guide strategy, share insights internally, and represent the team in technical forums as needed\n\nSkills and attributes for success\nProven experience with deep learning architectures for generative tasks (e.g., diffusion models, transformers, GANs)\n\nStrong understanding of LLMs, with hands-on experience in fine-tuning, prompt engineering, and evaluating foundation models for applied use-cases for multimodal generation\n\nPreferred understanding of computer vision, natural language processing, and multimodal learning\n\nStrong exposure to ML evaluation techniques, including perceptual quality metrics and user-in-the-loop testing\n\nProficiency in programming languages such as Python, R, and SQL\n\nExperience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud)\n\nExcellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders.\n\nPreferred education and experience:\nMaster'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\nAbout Us\nPerched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.\nJioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. 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