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- Overall 12+ years of experience in IT Industry.. 4+ years relevant exp.
- Design AI systems, including data pipelines, model deployment, and integration with other systems to ensure seamless operation and data flow.
- Ensure the scalability, reliability, and performance of AI systems.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Build, train, and optimize machine learning models by selecting appropriate algorithms, performing hyperparameter tuning, and conducting model optimization to achieve high accuracy and performance.
- Evaluate and validate model performance using various metrics and techniques to ensure models meet the required standards and deliver actionable insights.
- Work end-to-end on the ML lifecycle, from data exploration to model operationalization.
- Collaborate with data engineers, data scientists, product etc in a multi-functional team to deliver and maintain the solutions and business integration.
- Partner with different teams and domains on designing, explaining and implementing ML models.
- You will be responsible to support users with the solutions that you will build.
- Work with the MLOps engineer in the team on operationalization of the models, which can be through batch inference, or live through providing API’s.
- Integrate your models with existing systems or make them consumer facing.
- Familiarity with Azure platforms is must
- Experience in Azure Machine Learning Studio.
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