CHENNAI · FULLTIME
Analyst, Algorithm Research & Development
KLA
Chennai · onsite · Posted 62d ago
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Undisclosed2–6 yrsfulltimeChennai
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Section · 01
About this role
Job Summary
We are looking for an AI Engineer to design and develop machine learning, statistical analytics, and agentic AI solutions for semiconductor manufacturing and engineering applications. The role combines software engineering, applied machine learning, deep learning, computer vision, and modern AI frameworks to build intelligent systems that improve product performance, defect detection, engineering productivity, and manufacturing insights.
The engineer is expected to contribute independently, lead small to medium-sized technical initiatives, and collaborate across software, algorithms, systems, data science, and product teams. Given the product is a large data analytics solution for the semi industry, proficiency in C++ is necessary in addition to python.
Key Responsibilities - Machine Learning & Statistical Analytics
- Design and implement machine learning solutions for classification, regression, clustering, anomaly detection, and forecasting.
- Develop statistical models using:
- Hypothesis testing
- Regression analysis
- Bayesian methods
- PCA
- Time-series analysis
- Design of Experiments (DOE)
- Predictive analytics
- Analyze large-scale manufacturing and engineering datasets to derive actionable insights.
- Evaluate model performance and drive continuous improvements.
- Deep Learning & Computer Vision
- Develop deep learning models for:
- Defect classification
- Pattern recognition
- Image segmentation
- Object detection
- Feature extraction
- Build and optimize models using:
- PyTorch
- TensorFlow
- ONNX
- Work with image-processing pipelines and semiconductor inspection datasets.
- Develop deep learning models for:
- Agentic AI & LLM Applications
- Develop AI assistants and workflow automation solutions using modern agent frameworks.
- Build Retrieval-Augmented Generation (RAG) pipelines.
- Integrate LLMs with enterprise data sources and engineering workflows.
- Develop tool-using AI agents capable of planning, reasoning, and workflow execution.
- Contribute to multi-agent systems for engineering productivity and analytics.
- Software Engineering
- Design and implement production-quality software in:
- C++
- Python
- Convert business and system requirements into scalable AI solutions.
- Develop reusable software libraries, APIs, and services.
- Participate in code reviews and software design reviews.
- Optimize performance, scalability, and reliability of AI services.
- Design and implement production-quality software in:
- Collaboration & Product Development
- Work closely with:
- Software Engineers
- Algorithm Engineers
- Product Managers
- Applications Teams
- Contribute to solution design discussions.
- Participate in feasibility studies and technical investigations.
- Support deployment, validation, and customer adoption activities.
- Work closely with:
- Bachelor's, Master's, or PhD in:
- Computer Science
- Artificial Intelligence
- Machine Learning
- Statistics
- Mathematics
- Computer Engineering
- Related discipline
Typically:
- BS + 5 years experience
- OR MS + 3 years experience
- OR PhD with relevant experience
Consistent with the experience expectations for the P3 AI Engineering level.
Required Technical Skills Programming Strong proficiency in:
- Modern C++ (C++14/17/20)
Experience with:
- Data structures
- Algorithms
- Object-oriented design
- Multithreaded programming
Experience developing and deploying:
- Random Forests
- XGBoost
- Gradient Boosting
- Isolation Forest
- Clustering Algorithms
- Predictive Models
Hands-on experience with:
- Deep Neural
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Section · 02
Skills
Automationai assistantsapisai servicesai frameworksbsai engineerai automationAnomaly DetectionBayesianAlgorithmsArchitectureAdvanced AnalyticsApplication DevelopmentAi SolutionsArtificial Intelligence
Section · Company
About KLA

KLA
Semiconductors
900
employees
1976
50 years old
Milpitas, California
India
₹25.9L PA avg
Avg at KLA
About
KLA is a leader in process control using advanced inspection tools, metrology systems, and computational analytics.
Industries
SemiconductorsEmerging TechnologiesSoftware Product
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