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JOB TITLE : Principal Engineer/Engineering Manager, AI & ML
JOB LOCATION: NAVI MUMBAI
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. If this sounds like your kind of place, we'd love to hear from you.
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
Qualifications
Required Skills
Equal Opportunity
JioSaavn is proud to be an equal opportunity employer, committed to a safe, fair, and inclusive environment for all—free from discrimination.
Job ID: 151723065
Skills:
MLops, Gcp, Docker, Distributed Systems, Azure, Kubernetes, AWS, feature management, experiment tracking, machine learning systems, ML platform architecture, cloud native architectures, model training, data platforms, pipeline orchestration, data ingestion, model lifecycle management, model monitoring
Skills:
data engineering , Python, Tensorflow, Deep Learning, Cloud Computing, Model Deployment
Skills:
Neural network architectures, On-premises infrastructure, Deep learning frameworks, Image processing techniques, Cloud AI services, Chatbot development, Generative AI models

Skills:
Machine Learning, Containers, AI EC2 Instances, MLOps best practices, Generative AI, AI Platforms, AI Services, AI Frameworks, Amazon Bedrock, SparkML
Skills:
Sql, Data Cleaning, Tensorflow, Python, Nlp, Pytorch, Api Development, outlier handling, AI ML services, Deployment of GenAI applications, Prompt design, Generative AI techniques and tools, ETL methods, Big Data technologies like Spark, GenAI Fundamentals, Azure cloud platform, Agentic AI, data imputation