AI / ML Engineer
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Key Responsibilities
- Design and develop artificial intelligence and machine learning systems using cloud-based AI services.
- Build scalable data pipelines that support model training and production environments, with an emphasis on operational excellence.
- Customize and apply deep learning and generative AI models based on business requirements and available data.
- Conduct research and development of advanced algorithms, models, and simulations for high-performance computing applications.
- Work with large-scale datasets and apply data preprocessing techniques to ensure high-quality inputs for training and production.
- Implement and maintain efficient data storage and retrieval systems to support machine learning models and knowledge management.
- Collaborate with cross-functional teams to align infrastructure requirements, including edge devices and high-performance computing resources. Bonus Points If You Have
- Expert proficiency in AI Agents.
- Expert proficiency in Foundation Model Fine Tuning.
- Expert proficiency in Foundation Models.
- Expert proficiency in Large Language Model Fine-Tuning.
- Expert proficiency in Machine Learning. Required Qualifications
- Master proficiency in Database Architecture.
- Strong experience in relevant related skills across AI/ML engineering, data systems, and model development.
- Master’s degree in a relevant field of study. Preferred Qualifications
- Expert proficiency in AI Agents.
- Expert proficiency in Foundation Model Fine-Tuning.
- Expert proficiency in Foundation Models.
- Expert proficiency in Large Language Model Fine-Tuning.
- Expert proficiency in Machine Learning.
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