Senior Machine Learning Engineer
Jiostar Open · verified Nov 1, 2026 At a glance
Senior Machine Learning Engineering role at Jiostar. Bengaluru- We Work.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Take responsibility for ML code, system design and delivery, keeping projects on schedule and quality high
- Build and run the full ML lifecycle using big-data and machine-learning frameworks
- Create fast caching and storage, plus streaming pipelines that produce features for real-time recommendations
- Assess technologies and shape architecture decisions while solving complex system problems independently
- Work with product managers and other teams to turn requirements into deployed software
What you bring
- At least four years in software engineering, with examples of delivering projects independently
- A B.Tech, B.E, master’s degree or equivalent qualification
- Strong coding ability in Python, Java, Golang or Scala
- Experience with Spark and Kubernetes for data or ML workloads
- You build production ML pipelines and scalable architectures, with monitoring and MLOps capabilities
Who this fits
This senior role suits an engineer who can independently handle complex systems and deliver work across the ML lifecycle. It is based in Bangalore and is full time.
From the employer
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.
● 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.
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