As a Senior Cloud AI Engineer / Cloud AI Platform Architect, you will play a pivotal role in designing, developing, and implementing AI solutions within cloud environments. You will collaborate with cross-functional teams to translate business requirements into scalable and efficient AI applications. Your expertise in cloud computing and artifici
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5+ years of experience in software development, cloud infrastructure management, and AI/ML
Proficiency in programming languages such as Python, experience with frameworks (e.g., TensorFlow, PyTorch), and knowledge of cloud platforms (AWS, Azure, Nvidia).
Strong understanding of deep learning and natural language processing (NLP).
Experience with SageMaker, BedRock, NeptuneDB, and AzureAI models.
Experience with Jupiter Notebook for developing and testing AI models.
Ability to analyze complex problems and develop practical, scalable solutions.
AI Solution Development: Design and develop AI models and algorithms using cloud platforms such as AWS, Azure
Cloud Infrastructure Management: Implement and manage scalable cloud infrastructure to support AI workloads, ensuring high performance and reliability.
Data Management: Handle large datasets, including data collection, preprocessing, and storage, to train and deploy AI models.
Integration and Deployment: Integrate AI models into existing systems and deploy them using cloud services, ensuring accessibility and functionality.
Collaboration: Work closely with data scientists, software engineers, and other stakeholders to translate business requirements into AI solutions.
Performance Monitoring: Monitor and optimize the performance of AI applications and cloud infrastructure.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.