Senior Data Informatics Manager – AI/ML Engineering Development

• Master’s degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline with research focus in data mining, machine learning, text mining, databases, statistics, and forecasting.
• 5+ years of progressive experience in data science, analytics, machine learning, or informatics, including experience delivering enterprise-scale solutions.
• Demonstrated expertise in machine learning and statistical methods, including classification, clustering, regression, time series analysis, hypothesis testing, Bayesian analysis, and neural networks.
• Strong experience with Generative AI technologies, including LLMs, OpenAI tools, NLP techniques, LangChain, LangGraph, AutoGen, swarm or multi-agent frameworks, and vector database-based architectures.
• Proven experience building or leading solutions involving RAG, advanced chatbots, knowledge-aware AI systems, and intelligent workflow automation.
• Expertise in text analytics, summarization, sentiment analysis, and unstructured data processing for real-world business applications.
• Proficiency with modern analytics and ML development tools such as Python, R, SAS, TensorFlow, PyTorch, SQL, and data visualization platforms.
• Strong communication and leadership capabilities, with the ability to influence technical and business stakeholders and convert complex challenges into scalable solutions.

• Experience leading teams or mentoring technical professionals in data science, AI/ML engineering, or data informatics environments.
• Hands-on experience with LLM-powered automation, systems intelligence workflows, or agentic AI.
• Demonstrated ability to quickly adopt emerging technologies and apply them effectively to create innovative, production-relevant solutions.

• Master’s degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline with research focus in data mining, machine learning, text mining, databases, statistics, and forecasting.
• 5+ years of progressive experience in data science, analytics, machine learning, or informatics, including experience delivering enterprise-scale solutions.
• Demonstrated expertise in machine learning and statistical methods, including classification, clustering, regression, time series analysis, hypothesis testing, Bayesian analysis, and neural networks.
• Strong experience with Generative AI technologies, including LLMs, OpenAI tools, NLP techniques, LangChain, LangGraph, AutoGen, swarm or multi-agent frameworks, and vector database-based architectures.

We offer a competitive, family friendly total rewards package.

We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

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