277 AI Research Scientist jobs in Malaysia

Our client "10 Epoch PLT" is seeking an Artificial Intelligence Engineer to join their team!

What you'll be doing?

Solution Architecture:

Design and architect innovative AI-driven solutions that meet specific client needs, defining comprehensive system requirements and end-to-end workflows for seamless implementation. AI Model Development:

Build and refine advanced algorithms and models, focusing on pattern recognition, neural networks, natural language processing, and image processing to deliver cutting-edge technological solutions. System Implementation:

Lead the deployment and integration of AI systems into existing infrastructures, ensuring optimal scalability, reliability, and performance across diverse business environments. Collaborative Innovation:

Work closely with developers, data scientists, and stakeholders to align technical efforts with strategic business goals and drive cross-functional project success. Client Engagement:

Present complex AI concepts in clear, actionable terms to clients and non-technical stakeholders, ensuring effective communication and project buy-in. Research & Development:

Stay at the forefront of AI advancements and integrate cutting-edge technologies into solution design to maintain competitive advantage and innovation leadership. Infrastructure Management:

Oversee API design, cloud deployment, and infrastructure setup to ensure seamless system integration and optimal performance delivery. Project Leadership:

Manage and prioritize multiple projects simultaneously, ensuring timely delivery, quality outcomes, and exceptional client satisfaction. Who are they looking for?

Educational Foundation:

A degree in Computer Science, AI, or related field to provide strong theoretical knowledge and technical understanding of artificial intelligence principles. Technical Expertise:

Proficiency in frameworks like PyTorch and TensorFlow with deep knowledge in pattern recognition, neural networks, natural language processing, and image processing methodologies. Programming Excellence:

Strong programming skills in Python with solid understanding of software development principles and best practices for robust system development. Solution-Oriented Approach:

Proven ability to design and implement AI systems with focus on solution architecture and system integration for real-world applications. Data Analytics Skills:

Experience in analyzing and interpreting complex data sets to inform intelligent model design and optimize system performance. Communication Skills:

Ability to effectively communicate technical concepts to diverse audiences including clients, stakeholders, and cross-functional team members. Project Management:

Experience managing multiple projects simultaneously with keen attention to detail and commitment to delivering quality outcomes on schedule. Team Collaboration:

Ability to thrive in both independent work environments and hybrid team settings while maintaining productivity and collaboration excellence. Innovation Drive:

Strong passion for exploring and implementing cutting-edge advancements in AI and solution design to push technological boundaries. Cloud Experience:

Familiarity with cloud platforms such as AWS, Azure, or GCP is beneficial for scalable system deployment and infrastructure management. Language Proficiency:

Fluency in English is required for effective communication in international business environments and technical documentation. Academic Performance:

Strong academic record demonstrating commitment to excellence and learning capability. Why you should consider this opportunity?

Our client offers an attractive remuneration package and other benefits, such as: Annual leave Flexible hybrid working arrangements Monday to Friday schedule (9am-6pm) Comprehensive medical coverage with RM1,000 annual medical claim allowance Dental care support with RM200 annual dental claim benefit Performance-based bonus system Comprehensive training and professional development opportunities Opportunity to work on groundbreaking projects that shape industry standards and digital transformation How to apply

Ready to join this role? Click Apply now to submit your resume and share your availability and expected salary with us! We welcome applications from passionate AI professionals and talented individuals with the right attitude who are eager to contribute to cutting-edge artificial intelligence solutions. All information received will be kept strictly confidential and will be used only for employment-related purposes.

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As an AI Specialist, you will be developing and implementing AI solutions to enhance our financial products and services. You will work on a variety of AI and machine learning projects with the aim of improving user experiences, optimizing operations, and driving business growth.

Key Responsibilities:

• Design, develop, and deploy AI models and algorithms for various financial applications.
• Collaborate with cross-functional teams to gather and analyze data, identify opportunities for AI integration, and provide data-driven insights.
• Implement Generative AI, predictive AI, data analytics, and other AI techniques to develop advanced financial tools.
• Stay up-to-date with the latest AI and machine learning trends and technologies and assess their potential applications in the Fintech industry.
• Optimize AI models for accuracy performance, scalability, and reliability.
• Create and maintain documentation for AI solutions, including model architecture, data pipelines, and processes.
• Participate in code reviews and provide guidance on best practices for AI development.
• Be part of building up MLOps ecosystem.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Having final year project or any working experience related to AI would be an advantage.
• Excellent problem-solving and analytical skills.
• Effective communication and teamwork abilities.

All applications will be treated in strict confidence. We regret that only shortlisted applicants will be notified.

Note: Job responsibilities / requirements are representative and are not intended to be a detailed list. Other tasks/abilities may be required of the incumbent, relative to the specific assignment.

Job Requirement:

Experience Level: Entry level (i.e. Exec, Snr. Exec)

Bachelor's Degree: Required

Language:

Skillset:

• Analytical Skills
• Teamwork
• Problem-solving

Remuneration package:

Competitive Salary (way above market rate if you have the right potential!)

Coverage:

Insurance and medical coverage.

Monthly sports allowance, Yearly department gathering and welcome dinner for new staff.

Company Overview:

iFAST Corporation is a global digital banking and wealth management platform headquartered in Singapore, providing a comprehensive range of investment products and services to financial advisory firms, financial institutions, banks, internet companies, multinational companies, as well as retail and high net worth investors in Asia.

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*For Singapore Applicants Only : PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Job Summary:

We are seeking an AI Engineer to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication.

Key Responsibilities:

• Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.
• Build and maintain robust, scalable data pipelines to support machine learning and AI model training .
• Design and manage data architectures that enable efficient and reliable AI workflows.
• Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models.
• Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems .
• Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.
• Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.
• Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.
• Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.
• Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies .
• Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.
• Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.
• Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.

Requirements:

• Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.
• Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.
• Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch , particularly for computer vision tasks including object detection, classification and tracking.
• Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.
• Experience in application software development across multiple platforms including Windows , Linux , mobile operating systems (iOS, Android) and embedded systems .
• Strong programming skills in Python , Java and C++ , with experience in GPU-accelerated computing using CUDA and TensorRT .
• Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson , Google Coral , and ARM Cortex .
• Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.
• Candidates must meet legal requirements to work in Singapore without sponsorship .

#J-18808-Ljbffr

As an AI Specialist, you will be developing and implementing AI solutions to enhance our financial products and services. You will work on a variety of AI and machine learning projects with the aim of improving user experiences, optimizing operations, and driving business growth. Key Responsibilities: Design, develop, and deploy AI models and algorithms for various financial applications. Collaborate with cross-functional teams to gather and analyze data, identify opportunities for AI integration, and provide data-driven insights. Implement Generative AI, predictive AI, data analytics, and other AI techniques to develop advanced financial tools. Stay up-to-date with the latest AI and machine learning trends and technologies and assess their potential applications in the Fintech industry. Optimize AI models for accuracy performance, scalability, and reliability. Create and maintain documentation for AI solutions, including model architecture, data pipelines, and processes. Participate in code reviews and provide guidance on best practices for AI development. Be part of building up MLOps ecosystem. Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Having final year project or any working experience related to AI would be an advantage. Excellent problem-solving and analytical skills. Effective communication and teamwork abilities. All applications will be treated in strict confidence. We regret that only shortlisted applicants will be notified. Note:

Job responsibilities / requirements are representative and are not intended to be a detailed list. Other tasks/abilities may be required of the incumbent, relative to the specific assignment. Job Requirement:

Experience Level:

Entry level (i.e. Exec, Snr. Exec) Bachelor's Degree:

Required Language: Skillset: Analytical Skills Teamwork Problem-solving Remuneration package: Competitive Salary (way above market rate if you have the right potential!) Coverage: Insurance and medical coverage. Monthly sports allowance, Yearly department gathering and welcome dinner for new staff. Company Overview:

iFAST Corporation is a global digital banking and wealth management platform headquartered in Singapore, providing a comprehensive range of investment products and services to financial advisory firms, financial institutions, banks, internet companies, multinational companies, as well as retail and high net worth investors in Asia.

#J-18808-Ljbffr

* For Singapore Applicants Only : PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa. Job Summary: We are seeking an

AI Engineer

to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication. Key Responsibilities: Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions. Build and maintain robust, scalable data pipelines to support

machine learning

and

AI model training . Design and manage data architectures that enable efficient and reliable AI workflows. Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models. Design and develop AI models and APIs, integrating them seamlessly into both

application software and embedded hardware systems . Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback. Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability. Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency. Implement

MLOps

best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation. Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using

Agile methodologies . Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations. Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions. Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes. Requirements: Min. Degree

in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields. Min. 2 years

of relevant experience in a similar role, with

hands-on experience

in designing, developing and deploying machine learning in real-world applications. Proficient in machine learning frameworks and libraries such as

TensorFlow

and

PyTorch , particularly for

computer vision tasks

including object detection, classification and tracking. Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases. Experience in application software development across multiple platforms including

Windows ,

Linux ,

mobile operating systems (iOS, Android)

and

embedded systems . Strong programming skills in

Python ,

Java

and

C++ , with experience in GPU-accelerated computing using

CUDA

and

TensorRT . Knowledge of edge computing platforms and hardware accelerators such as

NVIDIA Jetson ,

Google Coral , and

ARM Cortex . Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders. Candidates must meet legal requirements to work in Singapore

without sponsorship .

#J-18808-Ljbffr

Job Title: Lecturer (Data Science/Artificial Intelligence/Cybersecurity/Computer Science)

Location: Damansara Heights/ Subang Bestari

Reporting to: Dean of School of Information and Communication Technology

Established in 1986, HELP University is a leading institution in Malaysia, renowned globally for its commitment to excellence in education. It's ranked No. 1 for Outbound Student Exchange programs in QS World University Ranking: Asia 2021. It is also a top choice for international students and employers, offering high-quality specialist disciplines and postgraduate programs. Recently, it was honored as one of Talentbank’s Employer's Choice for Universities 2024 and proudly received the Diversity Hirer Award in the prestigious Life at Work Awards by TalentCorp , further cementing its reputation as a forward-thinking and inclusive institution.

JOB DESCRIPTION:

• To lecture/teach the course(s) assigned and cover the syllabi outlined for the assigned course(s) in a logical and readily understood sequence, and in accordance with students' assignment requirements.
• To assist students in the understanding of the topics covered and generally to prepare them for their final examinations.
• To guide students in the understanding of assignment requirements.
• To answer student queries on academic matters relating to the unit promptly.
• To set and mark assessments (quiz, test, assignments, examinations) for students.
• To invigilate examinations.
• To develop and update course materials as required.
• To attend staff meetings as deemed necessary by the Head of the Department.
• To give students regular guidance to assist the progress of their academic achievement.
• To counsel students on appropriate career/academic direction on completion of their course.
• To counsel at exhibition fairs which HELP participates.
• To conduct research in areas as per discussion with Head of Department and publish papers and present papers at conference.

JOB REQUIREMENTS:

• A PhD or Masters degree in Data Science, Artificial Intelligence, Cybersecurity, Computer Science, Computing.
• At least 3 years working experience as an academic.
• Experience as a programme leader and supervision at Masters and PhD level would be an advantage.
• Strong communication and interpersonal skills.
• Strong organizational and time management skills.
• Knowledge of MQA standards and regulatory requirements.
• Proficient in Microsoft Office Suite and others.

At HELP University, we believe that our strength lies in the diversity of our team. We are committed to fostering an inclusive environment where all individuals are treated with respect and are empowered to contribute fully. We welcome applications from people of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, age, disability, or any other characteristic that makes each of us unique.

#J-18808-Ljbffr

Job Title: Lecturer (Data Science/Artificial Intelligence/Cybersecurity/Computer Science) Location: Damansara Heights/ Subang Bestari Reporting to: Dean of School of Information and Communication Technology Established in 1986, HELP University is a leading institution in Malaysia, renowned globally for its commitment to excellence in education. It's ranked No. 1 for Outbound Student Exchange programs in QS World University Ranking: Asia 2021. It is also a top choice for international students and employers, offering high-quality specialist disciplines and postgraduate programs. Recently, it was honored as one of

Talentbank’s Employer's Choice for Universities 2024

and proudly received the Diversity Hirer Award in the prestigious

Life at Work Awards by TalentCorp , further cementing its reputation as a forward-thinking and inclusive institution. JOB DESCRIPTION: To lecture/teach the course(s) assigned and cover the syllabi outlined for the assigned course(s) in a logical and readily understood sequence, and in accordance with students' assignment requirements. To assist students in the understanding of the topics covered and generally to prepare them for their final examinations. To guide students in the understanding of assignment requirements. To answer student queries on academic matters relating to the unit promptly. To set and mark assessments (quiz, test, assignments, examinations) for students. To invigilate examinations. To develop and update course materials as required. To attend staff meetings as deemed necessary by the Head of the Department. To give students regular guidance to assist the progress of their academic achievement. To counsel students on appropriate career/academic direction on completion of their course. To counsel at exhibition fairs which HELP participates. To conduct research in areas as per discussion with Head of Department and publish papers and present papers at conference. JOB REQUIREMENTS: A PhD or Masters degree in Data Science, Artificial Intelligence, Cybersecurity, Computer Science, Computing. At least 3 years working experience as an academic. Experience as a programme leader and supervision at Masters and PhD level would be an advantage. Strong communication and interpersonal skills. Strong organizational and time management skills. Knowledge of MQA standards and regulatory requirements. Proficient in Microsoft Office Suite and others. At HELP University, we believe that our strength lies in the diversity of our team. We are committed to fostering an inclusive environment where all individuals are treated with respect and are empowered to contribute fully. We welcome applications from people of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, age, disability, or any other characteristic that makes each of us unique.

#J-18808-Ljbffr

Overview

Job Description Texas Instruments Malaysia’s Smart Manufacturing Automation team is looking for an Artificial Intelligence (AI) Engineer to drive the implementation of artificial intelligence and machine learning solutions to enhance semiconductor back-end manufacturing operations. This role involves close collaboration with manufacturing teams, data scientists, and product and process engineers to identify opportunities and deploy AI-driven solutions that improve operational efficiency, quality, and yield.

Please read the job description, qualification and minimum requirements carefully and ensure you meet them before applying

Responsibilities

• Lead a cross-functional team on the execution of releasing new products and ensuring return on investment for every development. The team includes Design, Marketing, Systems & Applications, Validation, Product & Test Engineering, Firmware/Software Engineering, Manufacturing, Field, and Quality.
• 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 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 system performance and implement enhancements.
• Stay updated with the latest advancements in AI/ML and propose innovative solutions applicable to semiconductor manufacturing.
• Set up and manage AI development and production infrastructure.
• Assist AI product managers and business stakeholders in understanding the potential and limitations of AI when planning new products.
• Build data ingest and data transformation infrastructure.
• Identify transfer learning opportunities and new training datasets.
• Build AI models from scratch and help product managers and stakeholders understand results.
• Deploy AI models into production and create APIs to help business customers operationalize model results.
• Keep current on the latest AI research relevant to the business domain.
• Collaborate with the Data Analytics team to integrate and implement large-scale data solutions.
• Participate in fast-paced prototyping to identify improvement opportunities in manufacturing systems.

Qualifications

Minimum requirements:

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence Engineering or a related AI field
• Minimum cumulative GPA of 3.3/4.0 or higher
• 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
• Work Arrangement: This is a full-time onsite role at Texas Instruments Malaysia, based in Kuala Lumpur
• Important Note: This opportunity is open ONLY to fresh graduates or those with up to 2 years of post-graduation experience

Preferred Qualifications

• 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 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

Added Advantage

• Knowledge of semiconductor manufacturing process or equipment
• Knowledge in sensors, drivers and encoders
• Familiarity with Data Processing Tools (Kafka, Spark, Apache Nifi, Dataiku)
• Familiarity with No-SQL databases (Cassandra, MongoDB, HDFS)
• Familiarity with software engineering tools (JIRA, Jenkins, Git, Confluence)
• Excellent knowledge of algorithms and data structures

About Us

Why TI?

• Engineer your future. We empower our employees to own their career and development, collaborating with some of the smartest people to shape the future of electronics.
• We’re different by design. Diverse backgrounds and perspectives push innovation forward. We value every voice.
• Benefits that benefit you. Competitive pay and benefits designed to help you and your family live your best life.

About Texas Instruments

Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips. TI is committed to making electronics more affordable and energy efficient. 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.

Seniority level : Entry level

Employment type : Full-time

Job function : Engineering and Information Technology

Industries : Semiconductor Manufacturing

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_Please read the job description, qualification and minimum requirements carefully and ensure you meet them before applying_
**Change the world. Love your job.**
Texas Instruments Malaysia's **Smart Manufacturing Automation** team is looking for an **Artificial Intelligence (AI) Engineer** to drive the implementation of artificial intelligence and machine learning solutions to enhance semiconductor back-end manufacturing operations.
This role involves close collaboration with manufacturing teams, data scientists, and product and process engineers to identify opportunities and deploy AI-driven solutions that improve operational efficiency, quality, and yield.
**Responsibilities include:**
+ Lead a cross functional team on the execution of releasing new products and ensuring successful return on investment for every development; the team consists of Design, Marketing, Systems& Applications, Validation, Product& Test Engineering, Firmware/Software Engineering, Manufacturing, Field, and Quality
+ 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.
+ Set up and manage AI development and production infrastructure.
+ Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
+ Build data ingest and data transformation infrastructure.
+ Identify transfer learning opportunities and new training datasets.
+ Build AI models from scratch and help product managers and stakeholders understand results.
+ Deploy AI models into production.
+ Create APIs and help business customers put results of your AI models into operations.
+ Keep current of latest AI research relevant to our business domain.
+ Collaborate with Data Analytics team to integrate and implement large scale data solution.
+ Participate in fast-paced prototyping to identify improvement opportunities in manufacturing systems.
**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.
If you are interested in this position, please apply to this requisition.
**Minimum requirements:**
+ **Bachelor's degree in Computer Science, Data Science, Artificial Intelligence Engineering** or a related AI field
+ Minimum cumulative GPA of 3.3/4.0 or higher.
+ 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.
+ **Work Arrangement:** This is a full-time onsite role at the Texas Instruments Malaysia, based in Kuala Lumpur
+ **Important Note:** This opportunity is **open ONLY to fresh graduates or those with up to 2 years of post-graduation experience.**
**Preferred qualifications:**
+ 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
**Added Advantage:**
+ Knowledge of semiconductor manufacturing process or equipment.
+ Knowledge in sensors, drivers and encoder will be an added advantage.
+ Familiarity with Data Processing Tools (Kafka, Spark, Apache Nifi, Dataiku).
+ Familiarity with No-SQL databases (Cassandra, Mongo, HDFS).
+ Familiarity with software engineering tools (JIRA, Jenkins, Git, Confluence).
+ Excellent knowledge of algorithms and data structures.
**ECL/GTC Required:** Yes