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Company Site

AI Engineer (HS_Kitchen)

LG Electronics
Bengaluru, IND
Full-time
Mid · 2+ years experience
Onsite
Discovered 3 weeks ago
PythonC++

Full Job Posting

Organization - LG Soft India, Bangalore

Position: AI/ML Engineer – Edge AI Computing Experience: 2-5 Years (can be adjusted based on requirement) Location: Bangalore / Noida Department: AI Research & Development

Job Summary

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.

Key Responsibilities

  • Design, develop, train, and optimize Machine Learning and Deep Learning models for edge computing environments.
  • Implement and deploy AI solutions on low-resource computing platforms with focus on performance, accuracy, and power efficiency.
  • Develop and maintain end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, and deployment.
  • Perform model tuning, optimization, quantization, pruning, and verification for production deployment.
  • Apply transfer learning techniques to improve model accuracy and reduce training efforts.
  • Evaluate and benchmark AI models for latency, memory consumption, and computational efficiency.
  • Collaborate with cross-functional teams to integrate AI algorithms into embedded and edge systems.
  • Analyze model performance and continuously improve accuracy, robustness, and scalability.
  • Stay updated with the latest advancements in AI, Deep Learning, and Edge Computing technologies.

AI/ML Fundamentals

Strong understanding and hands-on experience in: Machine Learning (ML) Deep Learning (DL) Model Optimization & Verification Transfer Learning Statistical Modeling Predictive Analytics

Machine Learning (ML)

Deep Learning (DL)

Model Optimization & Verification

Transfer Learning

Statistical Modeling

Predictive Analytics

Machine Learning & Deep Learning Frameworks

TensorFlow

PyTorch

Keras

Scikit-Learn

Model Development Experience

Hands-on experience with:

CNN (Convolutional Neural Networks)

LSTM (Long Short-Term Memory)

GRU (Gated Recurrent Unit)

Regression Models

Random Forest

XGBoost

LightGBM

ARIMA/SARIMA Time Series Models

Programming Skills

  • Strong Python Programming
  • Good C++ Programming Skills
  • Experience in algorithm design and optimization

Requirements

  • Strong Python Programming
  • Good C++ Programming Skills
  • Experience in algorithm design and optimization

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