MLOps Engineer

7 days ago


New Delhi, India Nagarro Full time

Role: MLOps EngineerRequired Experience: 3 - 5 yearsJob Location: : GurugramJob Description:Must Have Skills: Cloud development (Capable),ML Ops - MLEKey Responsibilities:- Collaborating with data scientists to understand model requirements, gather data, and refine models. - Responsible for the lifecycle of models, once deployed in production environments, through monitoring performance and model evolution. - Solve technical problems related to data processing, model building, and deployment. - Building and training machine learning models, including selecting datasets, performing statistical analysis, and refining models. - Deploy machine learning models to production environments, ensuring that models are integrated with software systems. - Monitor machine learning models in production, ensuring that models are performing as expected and that any errors or performance issues are identified and resolved quickly.Required Skills:- Strong background in Data Science with hands-on ML experience and MLOps - Proficiency in Python and related libraries (Pandas, NumPy, Scikit-learn, etc.). - Ability to handle large-scale data and build end-to-end ML pipelines. - Hands on experience with MLflow, Kubeflow, Airflow, Docker, Kubernetes, SageMaker, Azure ML, Vertex AI. - Good understanding of statistical methods and data analysis.


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