AWS Bedrock AI Engineer

Overview:

We are seeking an experienced AWS Bedrock AI Engineer to join our dynamic team. The ideal candidate will have a strong background in cloud-based AI development, particularly with AWS Bedrock, and experience in deploying, optimizing, and managing large-scale machine learning models in production. As an AI Engineer, you will work closely with data scientists, engineers, and product teams to design and implement AI-powered solutions on AWS.

Key Responsibilities:

• Design, develop, and optimize machine learning models and solutions using AWS Bedrock and related AWS services (SageMaker, Lambda, etc.).
• Collaborate with cross-functional teams to define and implement AI strategies aligned with business objectives.
• Build and deploy scalable, efficient AI systems on the AWS Cloud platform.
• Implement and maintain CI/CD pipelines for model training, deployment, and monitoring.
• Troubleshoot and resolve performance issues in AI/ML applications and optimize workflows.
• Leverage AWS Bedrock s pre-trained models and fine-tune them for custom use cases.
• Monitor and enhance model performance and accuracy.
• Stay up-to-date with the latest advancements in AI/ML technologies and AWS services.
• Document solutions, workflows, and best practices to support team collaboration and future development.

Requirements:

• 4-5 years of hands-on experience in AI/ML development, with a strong emphasis on AWS cloud services (AWS Bedrock, SageMaker, Lambda, etc.).
• Experience working with large-scale AI/ML systems and production environments.
• Proficiency in Python, TensorFlow, PyTorch, or similar AI/ML frameworks.
• Experience with building and deploying machine learning models at scale.
• Solid understanding of cloud infrastructure and distributed systems, particularly in AWS.
• Strong knowledge of model optimization, hyperparameter tuning, and performance evaluation.
• Ability to troubleshoot and resolve complex technical issues.
• Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes.
• Excellent problem-solving skills, with the ability to think critically and analytically.
• Strong communication skills and the ability to collaborate effectively in a team environment.