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 discussions ●    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