**About TI** As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable. **About the Job** The AI Engineer will drive implementation of artificial intelligence and machine learning solutions to enhance semiconductor back-end manufacturing operations. The role will involve close collaboration with manufacturing teams, data scientists, product and process engineers to identify opportunities and implement AI-driven solutions that improve operational efficiency, quality, and yield. This position requires a strong understanding of AI/ML technologies, experience with semiconductor manufacturing, and a passion for applying data-driven techniques to solve complex industrial problems. **Responsibilities include:** + Collaborate with cross-functional teams and domain experts to identify opportunities for AI integration in workflows. + Analyze and preprocess large datasets from manufacturing equipment, sensors, and logs to enable effective machine learning applications. + Lead proof-of-concept projects and pilot programs to demonstrate the value of AI applications in manufacturing settings. + Develop and deploy AI/ML models for defect detection, yield improvement, process optimization, and predictive maintenance in semiconductor back-end manufacturing processes. + Provide technical documentation, training, and support to ensure seamless adoption of AI solutions by production teams. + Monitor AI systems performance and implement enhancement. Stay updated with the latest advancements in AI/ML and propose innovative solutions applicable to semiconductor manufacturing. **Why TI?** + Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. + We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI (https://edbz.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/pages/4012) + Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. **About Texas Instruments** Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. If you are interested in this position, please apply to this requisition. **Minimum requirements:** + Bachelor's degree in Computer Science, Data Science, Engineering or a related field. + Minimum 3 years of experience in AI/ML development and deployment. + Strong programming skills in Python, R, or equivalent languages. + Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. + Experience in Data Analytics, AI vision or Gen-AI. + Experience in deploying machine learning models in production environments, including edge devices or cloud-based systems. + Excellent analytical and problem-solving skills and ability to work collaboratively in a cross-functional team. + Strong verbal and written communication skills. **Preferred qualifications:** + Master’s or Ph.D. in Artificial Intelligence, Machine Learning or related disciplines. + Knowledge of advanced computer vision techniques, such as deep learning for image classification, segmentation and object detection. + Knowledge of LLM, Prompt Engineering, RAG and LLM fine-tuning. + Experience with AI model explainability, trustworthiness, and validation in industrial contexts. + Knowledge of semiconductor back-end manufacturing processes, including assembly, packaging, and testing. + Experience in working with semiconductor manufacturing data, including sensor data, equipment logs, and MES data. + Familiarity with industry standards and protocols (e.g., SECS/GEM standards for semiconductor equipment). + Familiarity with data analysis tools and techniques. + Proven track record of publications, patents, or conference presentations in AI/ML applications for manufacturing. **ECL/GTC Required:** Yes