Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer

Department, Level: Subs/Pay, X22

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:

Subscriptions and Payments Team powers the end-to-end direct monetization engine for India’s largest subscription platform, with over 250M+ subscriptions. We build scalable, multi-tenant systems for acquiring users via D2C and partner channels, reducing churn through intelligent renewal and retry mechanisms, and integrating deeply with global and local payment ecosystems like UPI Autopay and card mandates. Our platform drives seamless onboarding, high retention, and reliable payments at scale—enabling frictionless subscription experiences across geographies and devices.

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.

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.