Artificial Intelligence Engineer

- Develop and maintain microservice architecture and API management solutions using REST and gRPC for seamless deployment of AI solutions.

- Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization.

- Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models.

- Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements.

- Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure management.

- Create and manage CI/CD pipelines using Git-based platforms (e.g., GitHub Actions, Jenkins) to ensure streamlined development workflows.

- Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments.