MlOps Engineer

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