MLOps Engineer

7 days ago

Gurgaon, Haryana, India Nagarro Full time ₹ 8,00,000 - ₹ 24,00,000 per year

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.

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