Machine Learning Engineer
Amgen (company site, opens in a new tab)5–8 yrsHyderabadOn-siteDirect career pageEst. 20–40 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, deploy, and support scalable machine learning models and pipelines including predictive models and time-series forecasting.
- Implement MLOps practices such as model versioning, automated testing, CI/CD, monitoring, and retraining primarily on AWS.
- Develop and operate ML solutions including Generative AI and LLM applications with collaboration across data science, engineering, and business teams.
Minimum Requirements
- 5–8 years of experience in Software Engineering, Data Science, Machine Learning Engineering, Computer Science, or related field.
- Strong proficiency with Python, machine learning frameworks (Scikit-learn, PyTorch, TensorFlow, XGBoost), and SQL.
- Experience with AWS cloud services and deploying production ML models, including model operationalization and monitoring.
- Bachelor's or Master's degree in relevant technical discipline.
Ideal Candidate Profile
- Experienced with end-to-end machine learning lifecycle management and MLOps on AWS cloud environments.
- Hands-on expertise in both predictive modeling and advanced time-series forecasting, with operational production deployments.
- Knowledgeable in developing Generative AI and LLM-based applications involving prompt engineering, embeddings, and vector search.