Product Development Engineer - AI & Analytics

AMD
Singapore
Workplace: OnsiteFull timeSGD 52,500 - 75,000 annuallyFunction: Data Analytics & Business IntelligenceEducation: mastersSkills: ["Structured problem solving","Attention to detail","Proactive communication","Technical documentation","Learning agility"]

Develop software, data, automation, and AI-driven solutions that improve Product Engineering productivity and decision-making. Build tools, data pipelines, analytics workflows, and data-quality checks to analyze engineering and manufacturing data, detect trends and risks, and power KPI dashboards and reports. Create intelligent, ML/LLM-based applications, integrate via REST APIs with enterprise systems, and collaborate on requirements, architecture, testing, deployment, and user adoption.

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FursaFursa
AMD
AMD
3 days ago

Product Development Engineer - AI & Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Develop software, data, automation, and AI-driven solutions that improve Product Engineering productivity and decision-making. Build tools, data pipelines, analytics workflows, and data-quality checks to analyze engineering and manufacturing data, detect trends and risks, and power KPI dashboards and reports. Create intelligent, ML/LLM-based applications, integrate via REST APIs with enterprise systems, and collaborate on requirements, architecture, testing, deployment, and user adoption.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Design and develop software tools, automation frameworks, and data-driven solutions to improve Product Engineering productivity and execution efficiency.
  • •Build and maintain data pipelines, data models, analytics workflows, and data-quality checks that support engineering operations and decision-making.
  • •Analyze engineering and manufacturing data to identify trends, anomalies, risks, bottlenecks, yield opportunities, and improvement actions.
  • •Develop dashboards, notebooks, reports, and visualizations for KPI tracking, engineering analytics, and management reporting.
  • •Create intelligent applications using machine learning and generative AI approaches, integrate them via REST APIs with enterprise/engineering systems, and support scalable issue tracking, workflow management, deployment, and user adoption.

Pay and Benefits

Salary: SGD 52,500 - 75,000 annually

Key Requirements

  • •Strong Python skills for data processing, automation, analytics, and report generation, including engineering-log analysis or AI application development.
  • •Strong SQL fundamentals for extracting, transforming, cleaning, validating, and modeling engineering or manufacturing data.
  • •Practical knowledge of machine learning and generative AI, including prompt engineering, NLP, anomaly detection, predictive analytics, or LLM-based applications.
  • •Experience building analytics dashboards and visualizations using Tableau, Power BI, matplotlib, or Plotly (or equivalent tools).
  • •Exposure to web application development and API/system integration (e.g., REST APIs connecting tools such as Jira, Confluence, and enterprise platforms).
Experience:Data engineeringAnalyticsSoftware engineeringAIProduct engineering
Education:Master's in electrical engineering, computer engineering
Skills:Structured problem solvingAttention to detailProactive communicationTechnical documentationLearning agility
Tech Stack:PythonCSQLTableauPower BIMatplotlibPlotlyReactVueFlaskFastAPIDjangoREST APIsJiraConfluenceMicrosoft TeamsSharePointOutlookCopilotExcel

Company Brief

AMD
Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1969
Glassdoor
Glassdoor: 3.9
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