Machine Learning Engineer
Amgen (company site, opens in a new tab)4+ yrsHyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, deploy, and maintain machine learning systems supporting forecasting and decision-making across the organization.
- Develop and productionize ML pipelines and forecasting models including data ingestion, feature engineering, and model inference using structured and unstructured data.
- Support model lifecycle management including monitoring, automated retraining, performance tracking, and escalation of production issues.
Minimum Requirements
- 4+ years experience in Machine Learning Engineering, Software Engineering, Data Engineering or related field.
- Strong programming skills in Python and SQL; experience with ML libraries like scikit-learn, PyTorch, or TensorFlow.
- Experience building and deploying production ML applications and familiar with MLOps concepts (ML lifecycle, CI/CD, model monitoring).
- Experience with cloud platforms (Azure, AWS, or GCP), containerization (Docker), and distributed processing frameworks (Spark, Databricks).
Ideal Candidate Profile
- Experienced in productionizing forecasting or time-series ML models, preferably with Bayesian or probabilistic approaches.
- Skilled in building robust, scalable ML infrastructure supporting cross-functional collaboration and operational efficiency.
- Familiar with ML platforms (e.g., MLFlow, Airflow, Azure ML) and model explainability/monitoring tools (e.g., SHAP, Evidently).