Senior Machine Learning Engineer
JioStar (JioStar India Private Limited) (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end ML lifecycle systems building production pipelines and feature stores for subscription journey-prediction and intervention models (e.g., churn risk, conversion propensity, offer/response).
- Build workflows and real-time stream processing pipelines for subscriber lifecycle forecasting to enable personalized customer engagement across onboarding, engagement, churn risk, and re-acquisition stages.
- Design and implement monitoring, experimentation frameworks, and low-latency serving systems to ensure high model performance and real-time decisioning at scale.
Minimum Requirements
- 4+ years of professional experience in software engineering roles with independent project delivery.
- Strong programming skills in Python, Java, Golang, or Scala.
- Experience with Big Data frameworks (e.g., Spark, Kubernetes) and ML libraries (TensorFlow, PyTorch, JAX, or Keras).
- Bachelor's or Master's degree in B.Tech/B.E or equivalent.
Ideal Candidate Profile
- Experienced in productionizing large scale machine learning systems for subscription or similar customer lifecycle management.
- Skilled in MLOps, including experiment tracking, model versioning, feature stores, and deployment automation.
- Proficient in designing scalable, low-latency ML architectures with strong focus on monitoring model quality, drift, and system health under high traffic.