Capgemini
MlOps Engineer | 6 TO 10 Years | PAN India
Job Description
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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