Lead ML Engineer — GenAI, Anomaly Detection & MLOps

Keysight Technologies; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Keysight Technologies is seeking an experienced AI‑Machine Learning Engineer to lead design, development, and scaling of advanced AI/ML solutions across our analytics platform for manufacturing and semiconductor sectors. You will integrate classical ML with Generative AI (AWS Bedrock) to deliver anomaly detection, predictive maintenance, market intelligence, and automated test‑plan generation.

Collaborate in an Agile environment with MLOps and data engineering teams.

Qualifications

• Master’s degree in ML, CS, data science or related field.
• 4+ years of professional ML/AI engineering experience with end‑to‑end deployments.
• Strong experience with Scikit‑learn, XGBoost, TensorFlow or PyTorch.
• Experience with GenAI, RAG, embeddings, and vector searches.
• Proficient in Python, Git, CI/CD, and MLOps practices.
• Excellent English technical communication.

Responsibilities

• Lead architecture and scaling of unified AI/ML capabilities (classical ML + GenAI).
• Design anomaly detection and predictive maintenance on real‑time data.
• Build scalable RAG pipelines and agentic workflows for automation.
• Develop intelligent summarization and information extraction from large corpora.
• Own a customer‑facing GenAI Q&A chatbot for semiconductor risk insights.
• Collaborate in Agile/Scrum with cross‑functional teams and ensure CI/CD.
• Validate models, monitor drift, and ensure production reliability.

Skills

4+ years of professional ML experience

Classical ML & GenAI/LLM systems

NLP / LLMs (RNNs/LSTMs)

RAG architectures & agentic workflows

Python, Git, CI/CD, MLOps

English fluency (technical)

Education

Master's degree in ML/CS/Data Science

Tools

Scikit-learn

XGBoost

TensorFlow

PyTorch

LangChain/LangGraph

Bedrock

Spark

Vector databases

Job description

Keysight Technologies is seeking an experienced AI‑Machine Learning Engineer to lead design, development, and scaling of advanced AI/ML solutions across our analytics platform for manufacturing and semiconductor sectors. You will integrate classical ML with Generative AI (AWS Bedrock) to deliver anomaly detection, predictive maintenance, market intelligence, and automated test‑plan generation.

Collaborate in an Agile environment with MLOps and data engineering teams.