[Experienced - 2025 Intake] Artificial Intelligence Engineer (Kuala Lumpur, Malaysia)

Texas Instruments; Kuala Lumpur; On-site; MYR 70,000 - 90,000; Full time

Job summary

A leading semiconductor company in Kuala Lumpur is seeking an Artificial Intelligence Engineer to develop and implement AI solutions to enhance manufacturing operations. The role involves collaborating with cross-functional teams, analyzing data, and deploying machine learning models. Candidates should have a Master's or Ph.D. in a relevant field and at least 3 years of experience in AI/ML development, along with strong programming skills. This position offers competitive pay and a collaborative work environment.

Benefits

Competitive pay

Benefits for employees and families

Career growth opportunities

Qualifications

• 3+ years of experience in AI and ML development.
• Experience with semiconductor manufacturing.
• Strong programming skills in Python or R.

Responsibilities

• Collaborate with teams to identify AI integration opportunities.
• Analyze large datasets for machine learning applications.
• Lead proof-of-concept projects for AI in manufacturing.

Skills

Python

Machine Learning

Data Engineering

Data Analytics

Problem-solving

Education

Master's or Ph.D. in Artificial Intelligence, Machine Learning, Data Engineering or related disciplines

Tools

ETL/ELT tools

Cloud platforms

Data analysis tools

Job description

[Experienced - 2025 Intake] Artificial Intelligence Engineer (Kuala Lumpur, Malaysia)

Job Description

Change the world. Love your job.
The Artificial Intelligence (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.

Department: Smart Manufacturing Automation (SMA)

Hiring Team: Data Engr & Agentic AI Development

Number of Opening: 1 (Onsite Working Arrangement)

Intake Year: Immediate (2025)

Responsibilities include:

• Collaborate with cross-functional teams and domain experts to identify opportunities for AI integration in workflows.
• Build and maintain ETL/ELT pipeline to OLAP system.
• Analyze 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 solutions for workflow automation, 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.

Qualifications

• Master’s or Ph.D. in Artificial Intelligence, Machine Learning, Data Engineering or related disciplines.
• Minimum 3 years of experience in AI and ML development and deployment, and full stack development with proven application in real-world projects.
• Strong programming skills in Python, R, or equivalent languages.
• Experience in Data Engineering, Data Analytics, Predictive or Generative 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:

• Experience in advanced computer vision techniques, such as deep learning for image classification, segmentation and object detection.
• Experience in LLM, Context Engineering, RAG, Knowledge Graph and LLM fine-tuning.
• Experience in 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.

About Us

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
• 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.