Senior Machine Learning Engineer

Job Information

• 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 youre passionate about tackling complex technical challenges using big data, ML models, and building scalable services, youll 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 youre 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
• 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.