Job Description
ESSENTIAL SKILLS:
System Architecture Design: Proven experience in designing and building agentic system architectures using
frameworks like Amazon Bedrock AgentCore.
Multi-Step Reasoning: Strong expertise in orchestrating multi-step reasoning, tool invocation, and workflow
automation for AI agents.
Model Training and Deployment: Deep hands-on knowledge of training and deploying models using PyTorch
and TensorFlow.
Containerization: Skills in Docker and Kubernetes for scalable and fault-tolerant ML/GenAI deployments.
Networking for ML Workloads: Solid understanding of networking principles, including VPC design and lowlatency
communication patterns.
MLOps Practices: Experience with CI/CD for models, model versioning, and observability in ML systems.
ADVANTAGEOUS SKILLS:
Cloud Services Experience: Prior experience with Amazon Bedrock and other cloud-managed foundation model
System Architecture Design: Proven experience in designing and building agentic system architectures using
frameworks like Amazon Bedrock AgentCore.
Multi-Step Reasoning: Strong expertise in orchestrating multi-step reasoning, tool invocation, and workflow
automation for AI agents.
Model Training and Deployment: Deep hands-on knowledge of training and deploying models using PyTorch
and TensorFlow.
Containerization: Skills in Docker and Kubernetes for scalable and fault-tolerant ML/GenAI deployments.
Networking for ML Workloads: Solid understanding of networking principles, including VPC design and lowlatency
communication patterns.
MLOps Practices: Experience with CI/CD for models, model versioning, and observability in ML systems.
ADVANTAGEOUS SKILLS:
Cloud Services Experience: Prior experience with Amazon Bedrock and other cloud-managed foundation model