Teams at Hudson Information Technology and Manpower Services

Design, build, and maintain automated test frameworks and scripts. Lead test strategy, planning, and execution across functional, load, integration, security, server-side, and ETL testing. Create test artifacts, run automated tests, analyze results, report defects, participate in CI/CD, code reviews, and agile ceremonies, and drive issue resolution.

Design, build, and operate AWS-native AI/ML systems: RAG pipelines, fine-tuned LLMs, and microservices. Implement IaC (Terraform), CI/CD, policy guardrails, and production deployments integrating Bedrock/SageMaker, LangChain, and telemetry for secure, scalable enterprise use.

Develop prototypes, PoCs, and MVPs for GenAI solutions. Apply deep learning and ML principles using Python, Hugging Face, LangChain, OpenAI API, TensorFlow/Keras/PyTorch, and cloud model services. Work with multi-modal data and intelligent agent tools. Be self-motivated, collaborative, and focused on solving hard AI/GenAI problems.