- Design, develop, and deploy scalable AI models using AWS services such as SageMaker, Lambda, and EMR.
- Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions.
- Develop and maintain large-scale data pipelines using AWS Glue, Redshift, and DynamoDB.
- Implement machine learning algorithms using TensorFlow or PyTorch and integrate them with AWS services.
- Ensure high-quality data processing and analysis by implementing data validation and testing procedures.
- Troubleshoot and resolve complex technical issues related to AI model deployment and data pipeline failures.
Job Requirements
- Strong proficiency in programming languages such as Python, Java, or C++.
- Experience with deep learning frameworks like TensorFlow or PyTorch is highly desirable.
- In-depth knowledge of AWS services including SageMaker, Lambda, EMR, Glue, Redshift, DynamoDB, and CloudFormation.
- Excellent problem-solving skills and the ability to analyze complex data sets.
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.
- Ability to work in a quick-paced environment and adapt to changing priorities.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.