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 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.
