Job Description
About the Role
The role involves designing and implementing AI/ML solutions to address complex business challenges, developing and optimizing machine learning models, and ensuring seamless deployment and monitoring of these models on public cloud platforms.
Responsibilities
- Design and implement AI/ML solutions for complex business problems across domains like Banking, Finance, Telecom, Retail, and Technology.
- Develop and optimize Machine Learning and Deep Learning models using frameworks such as Tensor Flow, Keras, Py Torch.
- Build and maintain scalable data pipelines and ML workflows using Python, Spark, Py Spark, and GCP services.
- Deploy and monitor models on public cloud platforms (AWS/Azure/GCP), with hands-on experience in Vertex AI, Big Query, Cloud Composer.
- Transform prototypes into robust, production-ready solutions.
- Implement CI/CD principles for ML Ops, ensuring seamless integration and deployment.
- Work with containerization and orches...
The role involves designing and implementing AI/ML solutions to address complex business challenges, developing and optimizing machine learning models, and ensuring seamless deployment and monitoring of these models on public cloud platforms.
Responsibilities
- Design and implement AI/ML solutions for complex business problems across domains like Banking, Finance, Telecom, Retail, and Technology.
- Develop and optimize Machine Learning and Deep Learning models using frameworks such as Tensor Flow, Keras, Py Torch.
- Build and maintain scalable data pipelines and ML workflows using Python, Spark, Py Spark, and GCP services.
- Deploy and monitor models on public cloud platforms (AWS/Azure/GCP), with hands-on experience in Vertex AI, Big Query, Cloud Composer.
- Transform prototypes into robust, production-ready solutions.
- Implement CI/CD principles for ML Ops, ensuring seamless integration and deployment.
- Work with containerization and orches...
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