Sr. Machine Learning Engineer - Viewer Experience at JioStar

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, Golang, Scala, Big Data, Spark, Kubernetes, API Performance Monitoring, Grafana, Prometheus, Cloudwatch, MLOps, MLflow, Machine Learning, Data Processing, Model Serving

Industry

Broadcast Media Production and Distribution

Description

Job Summary: As a Sr. Software Development ML 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. \n Key Responsibilities: Possess deep knowledge of core systems and takes full responsibility for the code, design, and project delivery, ensuring high quality and on-time completion 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 quality metrics Create advanced experimentation frameworks that enable rapid A/B testing of algorithms Design and develop low-latency, high-throughput 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 Product Managers and cross-functional teams to understand requirements and deploy high-quality software solutions that meet business objectives Skills & Attributes for Success 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 environment Commitment to continuous learning and professional development Preferred Education & Experience B.Tech/B.E/ Masters or equivalent degree. At least 4+ years of professional experience in building and operating machine learning systems at scale \n 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.

Responsibilities

The Sr. Machine Learning Engineer will build and evolve end-to-end ML lifecycle systems, ensuring high quality and timely project delivery. Responsibilities include designing sophisticated monitoring systems, creating advanced experimentation frameworks, and collaborating with cross-functional teams to deploy high-quality software solutions.