Sr Machine Learning Engineer
Amgen (company site, opens in a new tab)8+ yrsHyderabadOn-siteDirect career pageEst. 35–60 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and maintain scalable machine learning systems and forecasting pipelines for near-, medium-, and long-term demand forecasting.
- Productionize advanced statistical, Bayesian, and machine learning forecasting models including model lifecycle management and MLOps capabilities.
- Partner with data scientists and business stakeholders to operationalize forecasting and decision-support solutions that influence multi-horizon planning and strategic business decisions.
Minimum Requirements
- 8+ years of experience in machine learning engineering or related fields with proven production ML system deployment.
- Strong programming skills in Python and SQL, and experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow.
- Experience with cloud platforms, distributed data processing, containerization, and ML pipeline orchestration tools.
- Work Experience Required: 8+ years machine learning engineering or related; Degree requirements: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in end-to-end ML pipeline development and MLOps, especially in forecasting or predictive modeling use cases.
- Skilled at operationalizing probabilistic or Bayesian models in production environments with an emphasis on system reliability and scalability.
- Able to collaborate cross-functionally translating advanced models into reliable, production-grade solutions supporting strategic decision-making.