{"id":1561382,"url":"https://alion.io/job/nexperia-ai-engineer","title":"AI Engineer","company":{"id":4240,"name":"Nexperia","domain":"nexperia.com","url":"https://alion.io/company/nexperia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":11,"ghost_share":0,"stale_share":0.273,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-10-04T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kuala Lumpur, Malaysia","Seremban, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":46000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1507},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CrewAI","optional":false},{"name":"Git","optional":false},{"name":"Keras","optional":false},{"name":"LangGraph","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"LangChain","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-01T04:10:16Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-04T22:38:20Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"KEY RESPONSIBILITIES:\nUnderstand the factories, manufacturing processes, data availability and avenues for improvement\nBrainstorm, together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform.\nDesign, develop, deploy, and maintain AI, Machine Learning (ML), and Generative AI solutions that address business and manufacturing challenges.\nBuild, train, fine-tune, evaluate, and optimize AI/ML models for performance, scalability, reliability, and accuracy.\nDevelop and implement Agentic AI solutions, AI assistants, and intelligent automation systems to improve operational efficiency and decision-making.\nUnderstand from the process engineers the pain points in the process and device solutions to help and improve the process\nFind possible areas where faster data analysis and decision making can help the factory\nAnalyze large, complex data sets that meet functional / non-functional business requirements.\nIdentify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability\nDeploy and monitor the solution\nWork with data and analytics experts to strive for greater functionality in our data systems.\nWork together with Data Architects and data modeling teams across Nexperia BE sites.\nIdentify the data needs and extraction process which can help improve the business KPI’s and\nSKILLS /COMPETENCIES\n(Top 3-7 most important/critical competencies needed for the job both soft and hard skills):\nGood knowledge of the business vertical with prior experience in solving different use cases in the manufacturing or similar industry\nAbility to bring cross industry learning to benefit the use cases aimed at improving manufacturing process at Nexperia\nProblem Scoping/definition Skills:Experience in problem scoping, solving, quantification\nStrong analytic skills related to working with unstructured datasets.\nBuild processes supporting data transformation, data structures, metadata, dependency, and workload management.\nWorking knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores\nAbility to foresee and identify all right data required to solve the problem\n\nAI Skills:Machine Learning model development and deployment\nDeep Learning (TensorFlow, PyTorch, Keras)\nPredictive Analytics and Statistical Modeling\nTime Series Forecasting\nModel evaluation, tuning, and optimization\nPython (Advanced), SQL (Advanced), PySpark, REST APIs, Microservices Architecture, Git and Version Control, Software Design Patterns\n\nGenerative AI Skills:Large Language Models (LLMs)\nPrompt Engineering\nRetrieval-Augmented Generation (RAG)\nAgentic AI frameworks (AutoGen, LangGraph, CrewAI, Semantic Kernel)\nAI Orchestration and Multi-Agent Systems\nVector Databases\nLLMOps and AI Governance\n\nVisualization SkillsKnow-how of any visualization tools such as Power BI, Tableau\nGood storytelling skills to present the data in simple and meaningful manner\n\nData Engineering SkillsStrong skill in data analysis techniques to generate finding and insights by means of exploratory data analysis\nGood understanding of how to transform and connect the data of various types and forms\nData extraction algorithm creations\nBuild algorithms and prototypes\nReformulation of existing frameworks to optimize their functioning.\nData Flow Diagram (DFD) Creation, Technical Design Documentation, Pipeline Design Specifications\n\nSoft Skills:Self-motivated to find use cases, biz value.\nProblem solving and innovation\nAbility to interact with multiple stakeholders to gather the required knowledge of the business process and convey ideas.\nGood Say to do ratio\nStructured approach to problem solving\nStrong adherence to on time delivery\n\nJOB SPECIFICATIONS:\nGraduate Engineer - preferably in Electronics or computer science\nMinimum 7-10 years of experience in data Analytics and data science\nProven ability to work Agentic AI platforms and tech stack\nExperience in large IT project implementation related to Supply Chain management, factory scheduling, big data lake architectures is a plus\nProven track record of ability to ideate, develop unique solutions using data science\nTalent acquisition based on Nexperia vacancies is not appreciated. Nexperia job adverts are Nexperia copyright © material and the word Nexperia® is a registered trademark.\nD&I Statement\nAs 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.\nIn 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.","description_format":"text","description_chars":5163,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Semiconductor Manufacturing","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-10-01T04:10:16Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":69,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nexperia-ai-engineer","json_url":"https://alion.io/job/nexperia-ai-engineer.json","meta":{"generated_at":"2026-10-05T01:31:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2009,"day_limit":5000,"remaining_today":2991,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}