Exponentia.ai - Artificial Intelligence Engineer - AWS Bedrock Models (4-5 yrs)

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.

Roles & Responsibilities :

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.