AI Engineer

Nexperia; Malaysia; On-site; MYR 120,000 - 230,000; Full time

Job summary

Nexperia is seeking a Graduate Engineer with extensive data analytics and AI/ML experience to design and deploy AI solutions across manufacturing operations in Malaysia. The role emphasizes solving complex manufacturing challenges using data lake platforms and Agentic AI frameworks.

You will work with data engineers, process engineers and analytics experts to model problems, build scalable data pipelines, and deploy predictive analytics and generative AI features in production environments.

Qualifications

• Graduate Engineer – preferably in Electronics or computer science.
• Minimum 7–10 years of experience in data Analytics and data science.
• Proven ability to work Agentic AI platforms and tech stack.
• Experience in large IT project implementation related to Supply Chain management, factory scheduling, big data lake architectures is a plus.
• Proven track record of ideating, developing unique solutions using data science.

Responsibilities

• Understand the factories, manufacturing processes, data availability and avenues for improvement.
• Brainstorm, with engineering, manufacturing and quality teams, problems solvable with data in the data lake platform.
• Design, develop, deploy, and maintain AI/ML and Generative AI solutions addressing business and manufacturing challenges.
• Build, train, fine-tune, evaluate, and optimize AI/ML models for performance, scalability, reliability and accuracy.
• Develop Agentic AI solutions, AI assistants, and intelligent automation to improve operational efficiency and decision-making.
• Identify data needs and extraction processes to improve KPIs.
• Deploy and monitor solutions; collaborate with Data Architects and modeling teams.

Skills

Python

SQL

PySpark

TensorFlow

PyTorch

Keras

REST APIs

Microservices

Education

Bachelor's degree in Electronics or Computer Science

Tools

LangGraph

CrewAI

Semantic Kernel

Job description

**KEY RESPONSIBILITIES:*** Understand the factories, manufacturing processes, data availability and avenues for improvement* Brainstorm, 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 process* Find possible areas where faster data analysis and decision making can help the factory* Analyze 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 scalability* Deploy and monitor the solution* Work 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 and **SKILLS /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 industry* Ability to bring cross industry learning to benefit the use cases aimed at improving manufacturing process at Nexperia* Problem Scoping/definition Skills: + - Experience in problem scoping, solving, quantification - Strong 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 stores - Ability to foresee and identify all right data required to solve the problem* AI Skills: + - Machine Learning model development and deployment - Deep Learning (TensorFlow, PyTorch, Keras) - Predictive Analytics and Statistical Modeling - Time Series Forecasting - Model evaluation, tuning, and optimization - Python (Advanced), SQL (Advanced), PySpark, REST APIs, Microservices Architecture, Git and Version Control, Software Design Patterns* Generative AI Skills: + - Large Language Models (LLMs) - Prompt Engineering - Retrieval-Augmented Generation (RAG) - Agentic AI frameworks (AutoGen, LangGraph, CrewAI, Semantic Kernel) - AI Orchestration and Multi-Agent Systems - Vector Databases - LLMOps and AI Governance* Visualization Skills + - Know-how of any visualization tools such as Power BI, Tableau - Good storytelling skills to present the data in simple and meaningful manner* Data Engineering Skills + - Strong skill in data analysis techniques to generate finding and insights by means of exploratory data analysis - Good understanding of how to transform and connect the data of various types and forms - Data extraction algorithm creations - Build algorithms and prototypes - Reformulation of existing frameworks to optimize their functioning. - Data Flow Diagram (DFD) Creation, Technical Design Documentation, Pipeline Design Specifications* Soft Skills: + - Self-motivated to find use cases, biz value. - Problem solving and innovation - Ability to interact with multiple stakeholders to gather the required knowledge of the business process and convey ideas. - Good Say to do ratio - Structured approach to problem solving - Strong adherence to on time delivery**JOB SPECIFICATIONS:*** Graduate Engineer – preferably in Electronics or computer science* Minimum 7-10 years of experience in data Analytics and data science* Proven ability to work Agentic AI platforms and tech stack* Experience in large IT project implementation related to Supply Chain management, factory scheduling, big data lake architectures is a plus* Proven track record of ability to ideate, develop unique solutions using data science