Semiconductor AI Manufacturing Analytics Engineer

Best NanoTech
Bengaluru, Karnataka, India

AI, Machine Learning & Smart Manufacturing Analytics

Location: Bengaluru / Ahmedabad / Dholera / Sanand, India

Work Mode: Onsite / Hybrid

Experience: 5- 12 Years

Industry: Semiconductor Manufacturing | Foundry | OSAT | AI | Smart Factory

Role Overview

We are seeking an experienced Semiconductor AI Manufacturing Analytics Engineer to develop and deploy Artificial Intelligence (AI), Machine Learning (ML), and Advanced Analytics solutions that improve semiconductor manufacturing performance. The role focuses on applying AI to yield enhancement, process optimization, predictive maintenance, defect detection, statistical process control (SPC), fault detection and classification (FDC), advanced process control (APC), and smart factory initiatives.

The successful candidate will work closely with Manufacturing, Process Integration, Equipment Engineering, Yield Engineering, Quality, Data Engineering, and Digital Transformation teams to build AI-powered manufacturing solutions that improve productivity, equipment utilization, product quality, and manufacturing efficiency.

Key Responsibilities

  • Develop AI and Machine Learning models for semiconductor manufacturing and process optimization.
  • Build predictive analytics solutions for yield improvement, defect prediction, equipment health monitoring, and process control.
  • Analyze large-scale manufacturing datasets from wafer fabrication, assembly, packaging, and semiconductor test operations.
  • Design AI-driven solutions for Statistical Process Control (SPC), Fault Detection & Classification (FDC), and Advanced Process Control (APC).
  • Develop predictive maintenance models for semiconductor manufacturing equipment to reduce downtime and improve Overall Equipment Effectiveness (OEE).
  • Build AI-based root cause analysis frameworks using manufacturing, metrology, and equipment data.
  • Collaborate with Process, Equipment, Yield, Manufacturing, Quality, and Automation teams to identify digital transformation opportunities.
  • Develop dashboards, KPIs, and visualization tools for engineering and factory leadership.
  • Integrate AI applications with MES, Manufacturing Data Systems, Equipment Automation, and Factory Information Systems.
  • Deploy AI models into production environments while monitoring performance and continuous improvement.
  • Support Digital Twin initiatives for semiconductor manufacturing.
  • Document AI methodologies, validation reports, and technical recommendations.Required Qualifications
  • Bachelor's or Master's degree in Electronics Engineering, Computer Science, Data Science, Artificial Intelligence, Industrial Engineering, Mechanical Engineering, or related discipline.
  • 5 12 years of experience in Semiconductor Manufacturing, Manufacturing Analytics, AI/ML Engineering, or Industrial Data Analytics.
  • Strong understanding of semiconductor manufacturing processes and factory operations.
  • Experience applying AI or Machine Learning to industrial or manufacturing environments.Technical Skills Semiconductor Manufacturing
  • Wafer Fabrication
  • Semiconductor Assembly
  • Advanced Packaging
  • Semiconductor Test
  • Manufacturing Operations
  • Yield Engineering
  • Process Integration
  • Equipment Engineering
  • Smart FactoryManufacturing Analytics
  • Statistical Process Control (SPC)
  • Fault Detection & Classification (FDC)
  • Advanced Process Control (APC)
  • Overall Equipment Effectiveness (OEE)
  • Root Cause Analysis
  • Yield Analytics
  • Process Monitoring
  • Equipment Analytics
  • Manufacturing KPIsArtificial Intelligence & Machine Learning
  • Machine Learning
  • Deep Learning
  • Predictive Analytics
  • Computer Vision
  • Anomaly Detection
  • Time Series Forecasting
  • Reinforcement Learning (Preferred)
  • Generative AI
  • Large Language Models (LLMs)
  • AI AgentsProgramming & Data Engineering
  • Python
  • SQL
  • PySpark
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Databricks
  • Apache SparkCloud & Infrastructure
  • Microsoft Azure
  • AWS
  • Google Cloud Platform
  • Snowflake
  • Docker
  • Kubernetes
  • MLflowVisualization & BI
  • Power BI
  • Tableau
  • Grafana
  • Kibana
  • Excel

#LI-SD1

Score my resume against this job, free →

Questions about this job

How do I apply for the Semiconductor AI Manufacturing Analytics Engineer job at Best NanoTech?

Use the apply link on this page: you apply directly with Best NanoTech on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Best NanoTech want for this Semiconductor AI Manufacturing Analytics Engineer role?

The job description asks for Bachelor's or Master's degree in Electronics Engineering, Computer Science, Data Science, Artificial Intelligence, Industrial Engineering, Mechanical Engineering, 5 12 years of experience in Semiconductor Manufacturing and Manufacturing Analytics. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Best NanoTech?

Apply to the Best NanoTech roles that match your experience, and tailor your resume to each job description: for this role that means showing Bachelor's or Master's degree in Electronics Engineering, Computer Science, Data Science. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Semiconductor AI Manufacturing Analytics Engineer job remote or onsite?

This is based in Bengaluru, Karnataka.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Best NanoTech, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

Will you get shortlisted for this role? Check your match free →