JioSaavn

Principal Engineer/Engineering Manager, AI & ML

JioSaavn
4 / 5
Navi Mumbai Not disclosed
Yesterday
On-Site
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About the job

JOB TITLE : Principal Engineer/Engineering Manager, AI & ML JOB LOCATION: NAVI MUMBAI About the Role We are looking for a highly skilled, hands-on AI/ML leader to drive state-of-the-art personalization, recommendations, and content discovery at JioSaavn. Responsibilities • Lead the strategy and execution of AI/ML initiatives that power personalization across homepages, autoplay, and content discovery. • Partner closely with engineering, and product teams to ship high-impact ML features at scale. • Mentor and grow a team of engineers and scientists, while remaining deeply technical yourself. • Shape JioSaavn’s long-term AI/ML roadmap, ensuring we stay at the forefront of recommendation systems, user understanding, and generative AI. • Your work will directly impact how millions of users discover music every single day. Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, Operations Research, or a related quantitative field. • 12+ years of relevant industry experience in applied AI/ML, data science, or closely related fields. • 3+ years of experience in people management and/or technical leadership, managing engineers and/or data scientists. Required Skills • Strong hands-on experience with core ML techniques: • Supervised learning, ranking, recommendation systems • Deep learning (e.g., representation learning, sequence models) • Applied NLP and/or user modelling • Proven track record of taking ML solutions from prototype to production, including: • Scalable data pipelines and feature engineering • Deployment & serving at scale • Experimentation, A/B testing, and continuous improvement • Monitoring, alerting, and model lifecycle management • Experience with modern MLOps practices (CI/CD for ML, experiment tracking, model registries, etc.). • Excellent communication skills, with the ability to translate complex technical concepts into clear narratives for both technical and non-technical stakeholders. Preferred Skills • Experience in AI/ML research or advanced development (publications, patents, or open-source contributions) is a strong plus. • Familiarity with recent advancements in large language models (LLMs) and generative AI—and an interest in applying them to music discovery—is a plus. Equal Opportunity JioSaavn is proud to be an equal opportunity employer, committed to a safe, fair, and inclusive environment for all—free from discrimination.

Requirements

  • Supervised learning
  • Ranking
  • Recommendation systems
  • Deep learning
  • Applied NLP
  • User modelling
  • Scalable data pipelines
  • Feature engineering
  • Deployment & serving at scale
  • Experimentation
  • A/B testing
  • Monitoring
  • MLOps

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Operations Research
  • Master’s degree in a related quantitative field

Preferred Technologies

  • Supervised learning
  • Ranking
  • Recommendation systems
  • Deep learning
  • Applied NLP
  • User modelling
  • Scalable data pipelines
  • Feature engineering
  • Deployment & serving at scale
  • Experimentation
  • A/B testing
  • Monitoring
  • MLOps

About the company

We are people-first and value-driven. Every member of our global team is empowered to be a catalyst for change. Every day is a chance to bring your ideas to life, learn something new, and grow. No idea is ignored. No voice is sidelined. With listeners in nearly every country on the planet, speaking dozens of languages, we like to think we have one of the most diverse user bases in the world. That’s only possible because we value radical inclusivity in all our offices. We believe diversity is powerful. What sets us apart is what brings us together. JioSaavn is proud to be an equal opportunity employer, committed to a safe, fair, and inclusive environment for all—free from discrimination. We encourage everyone to embrace perspectives beyond their own. Divergent thinkers build differentiated products—and better music experiences.

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