Advantest America
Advantest Cloud Solutions (ACS) is accelerating the integration of AI into semiconductor test and measurement systems. We are building intelligent, scalable, and secure platforms where AI agents collaborate with customers in real-world workflows.
We are looking for a
practical, hands-on AI Engineer
who enjoys building, testing, and deploying AI solutions in production. This is not just a research role - you will be working closely with customers, architects, software/data engineers, and product teams to make AI capabilities reliable, scalable, and useful. A
can-do attitude, strong teamwork, and willingness to learn
are just as important as technical expertise. Key Responsibilities
Build and deploy AI solutions
for real-world use cases such as predictive analytics, anomaly detection, generative AI, and workflow automation. Develop
end-to-end AI pipelines
including data ingestion, preprocessing, model training, validation, deployment, and monitoring. Work with
ML frameworks
(PyTorch, TensorFlow, Scikit-Learn, XGBoost) and integrate models into applications and services. Collaborate with software and infrastructure teams to ensure AI services run efficiently in
containerized environments
(Docker, Kubernetes). Experiment with
LLMs, multi-agent systems, and prompt engineering , focusing on practical integration into production. Participate in
team discussions, design reviews, and troubleshooting sessions
to continuously improve system reliability. Contribute to a culture of
collaboration, learning, and problem-solving
across global ACS teams. Helping all candidates find great careers is our goal. The information you provide here is secure and confidential. #J-18808-Ljbffr
practical, hands-on AI Engineer
who enjoys building, testing, and deploying AI solutions in production. This is not just a research role - you will be working closely with customers, architects, software/data engineers, and product teams to make AI capabilities reliable, scalable, and useful. A
can-do attitude, strong teamwork, and willingness to learn
are just as important as technical expertise. Key Responsibilities
Build and deploy AI solutions
for real-world use cases such as predictive analytics, anomaly detection, generative AI, and workflow automation. Develop
end-to-end AI pipelines
including data ingestion, preprocessing, model training, validation, deployment, and monitoring. Work with
ML frameworks
(PyTorch, TensorFlow, Scikit-Learn, XGBoost) and integrate models into applications and services. Collaborate with software and infrastructure teams to ensure AI services run efficiently in
containerized environments
(Docker, Kubernetes). Experiment with
LLMs, multi-agent systems, and prompt engineering , focusing on practical integration into production. Participate in
team discussions, design reviews, and troubleshooting sessions
to continuously improve system reliability. Contribute to a culture of
collaboration, learning, and problem-solving
across global ACS teams. Helping all candidates find great careers is our goal. The information you provide here is secure and confidential. #J-18808-Ljbffr