Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer

Location: Bangalore

Work Type: Full time

JOB SUMMARY

As a Sr. 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.

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

• ● Responsible for end to end Machine Learning Lifecycle and work with a diverse range of frameworks & technologies from Big data frameworks like Spark, Flink, Kafka, etc to ML frameworks like TensorFlow serving

• ● Design and implement low-latency caching and storage solutions

• ● Build stream processing pipelines to compute near real-time features that will help us serve real-time recommendations for our users

• ● You will continuously evaluate relevant technologies, influence and drive architecture and design

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• ● Tackles complex technical challenges independently for complex systems, demonstrating technical depth and proficiency

• ● 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 software engineering roles, with a track record of delivering high-quality projects independently.

ABOUT US:

• JioStar is a leading media & entertainment company in India that reaches over 700 million viewers a month in nine different languages. Our entertainment portfolio which cuts across general entertainment, movies, sports, infotainment, kids, and lifestyle content generates over 20,000 hours of original content every year.

• JioStar, India’s leading streaming platform, enables us to reach and entertain audiences anywhere, anytime. JioStar has changed the way Indians consume their entertainment - from their favourite TV shows and movies to sporting extravaganzas.

• Join us, and let's continue to inspire a billion imaginations.