About the Role :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:1. Hypothesis testing2. Regression analysis3. Bayesian methods4. PCA5. Time-series analysis6. Design of Experiments (DOE)7. 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:1. Defect classification2. Pattern recognition3. Image segmentation4. Object detection5. Feature extraction- Build and optimize models using:1. PyTorch2. TensorFlow3.



ONNX- Work with image-processing pipelines and semiconductor inspection datasets.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:1. C++2. 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.Collaboration & Product Development:- Work closely with:1. Software Engineers2. Algorithm Engineers3. Product Managers4. Applications Teams- Contribute to solution design discussions.- Participate in feasibility studies and technical investigations.- Support deployment, validation, and customer adoption activities.Required Qualifications:Experience:- Typically:1. BS + 5 years experience2. OR MS + 3 years experience3.



OR PhD with relevant experience- Consistent with the experience expectations for the P3 AI Engineering level.Required Technical Skills:Programming:- Strong proficiency in:1. Python2. Up-to-date C++ (C++14/17/20)- Experience with:1. Data structures2. Algorithms3. Object-oriented design4. Multithreaded programmingMachine Learning:- Experience developing and deploying:1. Random Forests2. XGBoost3. Gradient Boosting4. Isolation Forest5. Clustering Algorithms6. Predictive ModelsDeep Learning:- Hands-on experience with:1. PyTorch2. TensorFlow3. Deep Neural Networks4. CNNs5. Transformers6. Vision ModelsStatistical Analytics:- Strong understanding of:1. Probability & Statistics2. Experimental Design3. Statistical Inference4. Feature Engineering5. Data Validation6. Model EvaluationAgentic AI:- Exposure to one or more:1. LangGraph2. LangChain3. AutoGen4. CrewAI5. Semantic Kernel6. OpenAI Agents SDK7. MCP (Model Context Protocol)- Skills include:1. Tool Calling2. Workflow Orchestration3. RAG Systems4. Knowledge Retrieval5. AI AutomationWhat Success Looks Like:- Independently deliver AI and machine-learning features.- Design and deploy production-ready statistical and deep learning models.- Build agentic AI capabilities that improve engineering productivity.- Contribute to image-processing and advanced analytics solutions.- Influence architecture and technical design decisions.- Mentor junior engineers and contribute to engineering best practices. (ref:hirist.tech)

📌 KLA - AI Engineer - LangChain/Deep Learning (Chennai)
🏢 KLA Tencor Software India Pvt.Ltd
📍 Chennai