Job Description

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Overview
is on 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
We are seeking a passionate and skilled AI Engineer with 0-2 years of exerience to join our R&D team, focusing on the design, development, and deployment of intelligent chatbot systems and robust data engineering pipelines. This role bridges conversational AI and data infrastructure, enabling scalable, intelligent digital assistants that enhance user experience and operational efficiency.
Our 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
Key Responsibilities
Chatbot Design & Development

• Design, develop, and deploy AI-powered chatbots using NLP and LLM frameworks (e.g., Open Source, Rasa, Dialogflow, OpenAI, Azure Bot Framework).
• Collaborate with UX and product teams to define conversational flows and user intents.
• Continuously improve chatbot performance through user feedback, analytics, and retraining cycles.
• Ensure chatbot compliance with data privacy and governance standards.

Data Engineering

• Build and maintain scalable data pipelines to support chatbot training and analytics.
• Integrate structured and unstructured data from multiple sources (e.g., APIs, databases, logs).
• Implement data preprocessing, transformation, and storage strategies optimized for AI/ML workloads.
• Collaborate with data scientists to ensure data readiness for model training and evaluation.

Qualifications
Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, AI/ML, or related field.
• 0-2 years of experience in AI/ML engineering or data engineering roles.
• Proficiency in Python and familiarity with Java or Scala.
• Strong software development and collaboration skills.
• Experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and chatbot platforms.
• Hands-on experience with data pipeline tools (e.g., Apache Airflow, Spark, Kafka).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Strong understanding of data modeling, ETL processes, and data governance.

Preferred Skills

• Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow).
• Experience with LLM fine-tuning and prompt engineering.
• Knowledge of RESTful APIs and microservices architecture.
• Familiarity with analytics dashboards and chatbot performance metrics.

***Keysight is an Equal Opportunity Employer.***