Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Manager
Tasks
- Apply deep learning models for natural language processing computer vision and machine intelligence
- Build predictive models from structured and unstructured data
- Deploy and manage machine learning models in cloud environments
- Design build and maintain production grade machine learning models
- Develop machine learning workflows and pipelines
- Develop solutions using big data technologies
- Lead and manage multi disciplinary teams through product life cycle
Perks/Benefits
- N/A
Skills/Tech-stack
AI Platform | AWS | AWS SageMaker | Azure | Azure Machine Learning | CI/CD | Cloud platform | Computer Vision | Deep learning | Generative AI | Google AI | Google AI Platform | Google Cloud | Google Cloud Platform | Hadoop | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | Scikit-learn | Spark | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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