Machine Learning Engineer

Viacom18 Media Pvt Ltd

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 5 years

Job Details

Job Description

Staff Machine Learning Engineer - Viewer Experience

JOB SUMMARY: As a Staff Engineer, you will play a pivotal role in building end to end ML lifecycle with scale. Our recommendation engine creates personalized home page experiences for millions globally, adapting to user interests in real-time. Leveraging ML algorithms and A/B testing, we continuously refine our recommendations. If you're passionate about tackling complex technical challenges using big data, ML models, and building scalable services, you'll thrive here.

ABOUT THE TEAM: At JioHotstar, the Viewer Experience (VX) org is at the heart of how millions discover, engage with, and fall in love with our platform. We own the end-to-end user journey—from first app launch to daily habit loops—across Search, Personalization, Watch Experience, Interactivity, and more. We blend world-class engineering, ML, design, and data to deliver a seamless, personalized, and engaging OTT experience at massive scale. If you're passionate about building immersive, intelligent, and performant user experiences that delight a billion users, join us in shaping the future of streaming.

What will you do?

Lead and drive the architectural vision for JioStar's recommendation infrastructure, ensuring it meets scalability, reliability, and performance requirements

Build and evolve end-to-end ML lifecycle systems from data processing to model serving, using technologies spanning big data frameworks to ML platforms (TensorFlow, PyTorch)

Design and implement sophisticated monitoring systems that track both technical health and recommendation quality metrics

Create advanced experimentation frameworks that enable rapid A/B testing of recommendation algorithms

Design and develop low-latency, high-throughput recommendation serving systems with appropriate caching strategies

Establish MLOps best practices using MLflow for experiment tracking, model versioning, and deployment automation

Build stream processing pipelines for real-time feature computation that power dynamic content personalization

Scale and optimize training and serving of machine learning models, including specialized solutions for embedding scaling

Collaborate with content curators, data scientists, and product teams to enhance discovery experiences

Mentor and develop junior engineers, establishing engineering excellence across the organization

Who should apply for this role?

Strong coding skills in Python, Java, Golang, or Scala

Experience with Big Data frameworks like Spark and Kubernetes for data and ML workloads

Proficient in implementing API performance monitoring solutions using tools such as Grafana, Prometheus, and Cloudwatch

Skilled in developing end-to-end machine learning pipelines ensuring consistency between development and production environments

Ability to design scalable ML architectures tailored to site traffic and feature complexity for predictive algorithms

Familiar with model and data versioning, resource allocation and scaling, and logging to build optimal systems

Experienced in creating systems that monitor and react to faults in resources, data streams, and model responses

Expertise with MLOps tools for scalable, production-level deployment, including feature stores, model hosting and versioning, data versioning, prediction and drift monitoring, and automated remediation

Strong problem-solving skills and the ability to work effectively in a fast-paced environmentCommitment to continuous learning and professional development

About Us

Perched 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.

JioStar 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. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.