Role : MLOps Engineer
Required Experience : 3 - 5 years
Job Location : : Gurugram
Job Description :
Must Have Skills : Cloud development (Capable),ML Ops - MLE
Key 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 MLOpsProficiency 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.