
Chief Data Science Cloud Solutions Specialist
1 week ago
Job Description
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- We are seeking a skilled Cloud Architect to design and implement cloud-based machine learning solutions on AWS.\
- The ideal candidate will have 8+ years of hands-on technical experience in implementing and developing cloud ML solutions.\
- This includes designing and developing scalable predictive models to address dynamic pricing, price promotion challenges and optimizing pricing strategies.\
- Additionally, the candidate should have experience in implementing A/B testing to evaluate the effectiveness of different pricing strategies.\
- A strong understanding of various machine learning techniques (Supervised/unsupervised etc.) including clustering, decision tree learning, artificial neural networks, etc. is required.\
- Hands-on experience with AWS Machine Learning services, particularly Sagemaker, is also essential.\
- The successful candidate will be able to manage MLOps principles and best practices for ML architecture.\
- Experience with workflow orchestration tools such as Airflow, StepFunctions, SageMaker Pipelines, or Kubeflow is beneficial.\
- Able to create end-to-end solution architecture for model training, deployment and retraining using native AWS services.\
- In addition, the candidate should possess excellent collaboration skills to work with cross-functional teams.\
- Ability to communicate effectively with stakeholders and design software architecture as required.\
- A strong foundation in software development is necessary for this role.\\
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