MlOps Engineer

1 Day ago • 6-10 Years

Job Summary

Job Description

The MlOps Engineer will be responsible for analyzing and transforming data science prototypes, developing ML applications, running machine learning tests, and fine-tuning models. They will train and retrain ML models as needed. The role requires a strong understanding of data structures, data modeling, and software architecture. Excellent communication skills are also crucial for this role. The candidate should have a proven experience as a Machine Learning Engineer.
Must have:
  • Experience with Cloud platforms, preferably AWS
  • Proven experience as Machine Learning Engineer
  • Experience in AWS Sagemaker
  • Understanding of data structures and software architecture
  • Ability to write robust code in Python
  • Familiarity with machine learning frameworks and libraries
  • Excellent communication skills

Job Details

Job Description

  • Analyze and transform data science prototypes
  • Develop ML applications as per requirements
  • Run machine learning tests and experiments
  • Perform analysis and fine-tuning of models using test results
  • Train and retrain ML models when necessary

Primary Skills

  • Experience working on Cloud platforms, preferably AWS
  • Proven experience as Machine Learning Engineer
  • Experience in AWS Sagemaker
  • Understanding of data structures, data modeling and software architecture
  • Ability to write robust code in Python
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills

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About The Company

We are a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. Capgemini is a global leader in partnering with companies to transform and manage their business. Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology.

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