AI Engineer

Nexperia; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

Nexperia in Kuala Lumpur seeks a seasoned Graduate Engineer specializing in electronics or computer science to lead data analytics and AI initiatives across manufacturing. You will scope problems, build scalable AI/ML solutions, and collaborate with cross-functional teams to drive KPI improvements and operational efficiency.

Experience with data lakes, big data tooling, and multilingual data pipelines is preferred, with a focus on scalable analytics within factory environments.

Qualifications

• Graduate engineer with electronics or CS background.
• 7–10 years of experience in data analytics and data science.
• Experience with Agentic AI platforms and large data lake architectures.
• Experience in IT projects related to Supply Chain, factory scheduling, or big data environments is a plus.

Responsibilities

• Understand factories, processes, data availability and areas for improvement.
• Collaborate with engineering, manufacturing and quality to solve problems using data in the data lake.
• Design, develop, deploy and maintain AI/ML solutions addressing manufacturing challenges.
• Build, train, evaluate and optimize AI/ML models for performance and accuracy.
• Develop Agentic AI solutions, AI assistants and intelligent automation to improve efficiency.
• Identify data needs and extraction processes to improve KPIs and data delivery.
• Analyze large, complex datasets to meet required business objectives.
• Deploy, monitor and iterate on solutions; work with data architects and modeling teams across sites.

Skills

AI/ML development

Python

SQL

PySpark

TensorFlow/PyTorch

Generative AI

Education

Graduate Engineer (Electronics or CS)

Tools

REST APIs

Git

Microservices

Job description

KEY RESPONSIBILITIES:Understand the factories, manufacturing processes, data availability and avenues for improvementBrainstorm, together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform.Design, develop, deploy, and maintain AI, Machine Learning (ML), and Generative AI solutions that address business and manufacturing challenges.Build, train, fine-tune, evaluate, and optimize AI/ML models for performance, scalability, reliability, and accuracy.Develop and implement Agentic AI solutions, AI assistants, and intelligent automation systems to improve operational efficiency and decision-making.Understand from the process engineers the pain points in the process and device solutions to help and improve the processFind possible areas where faster data analysis and decision making can help the factoryAnalyze large, complex data sets that meet functional / non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalabilityDeploy and monitor the solutionWork with data and analytics experts to strive for greater functionality in our data systems.Work together with Data Architects and data modeling teams across Nexperia BE sites.Identify the data needs and extraction process which can help improve the business KPI’s andSKILLS /COMPETENCIES(Top 3-7 most important/critical competencies needed for the job both soft and hard skills):Good knowledge of the business vertical with prior experience in solving different use cases in the manufacturing or similar industryAbility to bring cross industry learning to benefit the use cases aimed at improving manufacturing process at NexperiaProblem Scoping/definition Skills:Experience in problem scoping, solving, quantificationStrong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency, and workload management.Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data storesAbility to foresee and identify all right data required to solve the problemAI Skills:Machine Learning model development and deploymentDeep Learning (TensorFlow, PyTorch, Keras)Predictive Analytics and Statistical ModelingTime Series ForecastingModel evaluation, tuning, and optimizationPython (Advanced), SQL (Advanced), PySpark, REST APIs, Microservices Architecture, Git and Version Control, Software Design PatternsGenerative AI Skills:Large Language Models (LLMs)Prompt EngineeringRetrieval-Augmented Generation (RAG)Agentic AI frameworks (AutoGen, LangGraph, CrewAI, Semantic Kernel)AI Orchestration and Multi-Agent SystemsVector DatabasesLLMOps and AI GovernanceVisualization SkillsKnow-how of any visualization tools such as Power BI, TableauGood storytelling skills to present the data in simple and meaningful mannerData Engineering SkillsStrong skill in data analysis techniques to generate finding and insights by means of exploratory data analysisGood understanding of how to transform and connect the data of various types and formsData extraction algorithm creationsBuild algorithms and prototypesReformulation of existing frameworks to optimize their functioning.Data Flow Diagram (DFD) Creation, Technical Design Documentation, Pipeline Design SpecificationsSoft Skills:Self-motivated to find use cases, biz value.Problem solving and innovationAbility to interact with multiple stakeholders to gather the required knowledge of the business process and convey ideas.Good Say to do ratioStructured approach to problem solvingStrong adherence to on time deliveryJOB SPECIFICATIONS:Graduate Engineer – preferably in Electronics or computer scienceMinimum 7-10 years of experience in data Analytics and data scienceProven ability to work Agentic AI platforms and tech stackExperience in large IT project implementation related to Supply Chain management, factory scheduling, big data lake architectures is a plusProven track record of ability to ideate, develop unique solutions using data scienceTalent acquisition based on Nexperia vacancies is not appreciated. Nexperia job adverts are Nexperia copyright material and the word Nexperia is a registered trademark.D&I StatementAs an equal-opportunity employer, Nexperia values diversity not just because it is the right thing to do but because diverse teams perform better. We are dedicated to being inclusive, and a proof point of this dedication is that we were the main partner of the very first Dutch Paralympic Team NL House during the Paris 2024 Paralympic Games. Our recruitment process is inclusive and accessible to all, and we consider all applicants fairly, as well as providing a safe work environment and reasonable adjustments where requested.In addition, we offer our colleagues the possibility to join employee resource groups such as the Pride Network Group or global and local Women's groups. Nexperia is committed to increasing women in management positions to 30% by 2030.