Machine Learning Engineer 3 at Keysight Technologies - Hong Kong

George Town, Penang, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

15 Mar, 26

Salary

0.0

Posted On

15 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, Deep Learning, PyTorch, TensorFlow, Natural Language Processing, MLOps, AI Services, Data Science, Production Deployment, Retrieval-Augmented Generation, Cloud Platforms, FastAPI, Flask, Experiment Tracking, Model Registry

Industry

electrical;Appliances;and Electronics Manufacturing

Description

Overview Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities "This new AI/ML Engineer role is essential to accelerate two strategic AI initiatives within EISG: (1) An AI-powered Summarizer for MI Weekly News that automatically processes large volumes of internal market intelligence reports, extracts key insights, and delivers concise executive summaries, saving an estimated 1,200+ person-hours annually for leadership and sales teams; (2) A high-impact product recommender system for upsell and cross-sell modeling that uses customer behavior, historical orders, and product affinity data to generate personalized recommendations, with projected incremental revenue of $8-12M in annualized bookings over the next three years. The engineer will design, train, and deploy production-grade models using Python, PyTorch/TensorFlow, open-source LLM frameworks (e.g., Hugging Face Transformers, Llama.cpp), retrieval-augmented generation (RAG) pipelines with open-source vector databases, feature stores, and MLOps tools such as MLflow and Kubeflow. This position will directly drive revenue growth, significantly improve operational efficiency, and strengthen Keysight’s competitive advantage through scalable, AI-driven solutions in the EISG portfolio." Qualifications **Required Qualifications & Skills** **Education** - Master’s degree (or higher in Computer Science, Mathematics, Machine Learning, Artificial Intelligence, Natural Language Processing, or a closely related field **Professional Experience** - 4+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or Full-Stack AI Engineer with end-to-end ownership of ML/AI systems (from prototyping to production deployment and monitoring) **Core Technical Expertise** - Advanced proficiency in Python and the modern data science stack (Pandas, NumPy, Jupyter) - Deep experience with deep learning frameworks: PyTorch and/or TensorFlow/Keras - Strong expertise in open-source LLM ecosystems, including Hugging Face Transformers, PEFT, Accelerate, and vLLM/Llama.cpp - Proven track record designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies, embedding models, vector stores, and reranking - Solid understanding of advanced prompting techniques, chain-of-thought, tool calling, and Model Context Protocol (MCP) or similar agentic frameworks **Production & Deployment Skills** - Experience building and serving production-grade AI services with FastAPI, Flask, or similar frameworks - Familiarity with MLOps best practices: experiment tracking (MLflow, Weights & Biases), model registry, CI/CD (Jenkins, GitHub Actions), and monitoring (Prometheus, Grafana, LangSmith) - Hands-on experience with GPU-accelerated inference (TensorRT, ONNX, DeepSpeed) and scaling LLM workloads - Working knowledge of cloud platforms, preferably AWS (SageMaker, Bedrock, ECS/EKS, Lambda) or Azure (Azure ML, OpenAI service, AKS) **Preferred Additional Skills** - Fluency in the English Language - Experience with natural-language-to-SQL/code generation or semantic search over manufacturing/engineering data - Background in time-series analysis and real-time anomaly detection - Contributions to open-source projects or relevant publications are a strong plus This role demands a candidate who can independently move complex AI features from research/PoC into reliable, scalable production systems while maintaining code quality and operational excellence. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Responsibilities

The engineer will design, train, and deploy production-grade models for AI initiatives, including an AI-powered summarizer and a product recommender system. This role aims to drive revenue growth and improve operational efficiency through scalable AI-driven solutions.