Retained official job evidence · LG Electronics

AI Engineer (HS_Kitchen)

Bengaluru Not specified OtherEmployer pay not stated in retained evidence

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Description

<div style="color:rgb(0,0,0);font-family:'Segoe UI';line-height:20px;"><h2>Job Description – AI/ML Engineer (Edge AI & Deep Learning)</h2> Organization - LG Soft India, BangalorePosition: AI/ML Engineer – Edge AI Computing Experience: 2-5 Years (can be adjusted based on requirement) Location: Bangalore / Noida Department: AI Research & Development<h3>Job Summary</h3>We are seeking a highly skilled AI/ML Engineer with strong expertise in Machine Learning, Deep Learning, and Edge AI Computing. The candidate will be responsible for designing, developing, optimizing, and deploying AI models on resource-constrained edge devices. The role requires deep understanding of ML/DL fundamentals, model optimization techniques, mathematical foundations of neural networks, and hands-on experience with industry-standard AI frameworks and algorithms.<h3>Key Responsibilities</h3><ul><li>Design, develop, train, and optimize Machine Learning and Deep Learning models for edge computing environments.</li><li>Implement and deploy AI solutions on low-resource computing platforms with focus on performance, accuracy, and power efficiency.</li><li>Develop and maintain end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, and deployment.</li><li>Perform model tuning, optimization, quantization, pruning, and verification for production deployment.</li><li>Apply transfer learning techniques to improve model accuracy and reduce training efforts.</li><li>Evaluate and benchmark AI models for latency, memory consumption, and computational efficiency.</li><li>Collaborate with cross-functional teams to integrate AI algorithms into embedded and edge systems.</li><li>Analyze model performance and continuously improve accuracy, robustness, and scalability.</li><li>Stay updated with the latest advancements in AI, Deep Learning, and Edge Computing technologies.</li></ul><h3>Required Technical Skills</h3><h4>AI/ML Fundamentals</h4><ul><li>Strong understanding and hands-on experience in:<ul><li>Machine Learning (ML)</li><li>Deep Learning (DL)</li><li>Model Optimization & Verification</li><li>Transfer Learning</li><li>Statistical Modeling</li><li>Predictive Analytics</li></ul></li></ul><h4>Machine Learning & Deep Learning Frameworks</h4><ul><li>TensorFlow</li><li>PyTorch</li><li>Keras</li><li>Scikit-Learn</li></ul><h4>Model Development Experience</h4>Hands-on experience with:<ul><li>CNN (Convolutional Neural Networks)</li><li>LSTM (Long Short-Term Memory)</li><li>GRU (Gated Recurrent Unit)</li><li>Regression Models</li><li>Random Forest</li><li>XGBoost</li><li>LightGBM</li><li>ARIMA/SARIMA Time Series Models</li></ul><h4>Programming Skills</h4><ul><li>Strong Python Programming</li><li>Good C++ Programming Skills</li><li>Experience in algorithm design and optimization</li></ul></div>

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