Senior Machine Learning Engineer

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Skills you'll use

What you'll do

• Possess deep knowledge of core systems and take full responsibility for the code, design, and project delivery, ensuring high quality and on-time completion
• Build and evolve end-to-end ML lifecycle systems from data processing to model serving — for journey prediction, churn/conversion propensity, and intervention-matching models — using technologies spanning big data frameworks to ML platforms (TensorFlow, PyTorch)
• Design and implement sophisticated monitoring systems that track both technical health and model quality metrics (prediction accuracy, drift, intervention lift)
• Create advanced experimentation frameworks that enable rapid A/B testing of journey-prediction algorithms and intervention strategies
• Design and develop low-latency, high-throughput serving systems with appropriate caching strategies to support real-time intervention decisions
• Establish MLOps best practices using MLflow for experiment tracking, model versioning, and deployment automation
• Build stream processing pipelines for real-time feature computation on subscriber behavior and lifecycle signals that power dynamic journey personalization and next-best-action decisioning
• Scale and optimize training and serving of machine learning models, including specialized solutions for embedding scaling
• Collaborate with Product Managers and cross-functional teams to understand requirements and deploy high-quality software solutions that meet business objectives

Who can apply

• Strong coding skills in Python, Java, Golang, or Scala

About JioStar

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