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    Job · 20642272

    BENGALURU · FULLTIME

    AI Engineer (HS_Kitchen)

    LG Soft India

    LG Soft India

    Bengaluru · onsite · Posted 12d ago

    Sourced fromNaukri
    Undisclosed2–5 yrsfulltimeBengaluru

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    Section · 01

    About this role



    Job Description AI/ML Engineer (Edge AI Deep Learning)

    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.


    Required Technical Skills

    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 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


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

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    Section · 02

    Skills

    Algorithm Designkerasai modelsai frameworksai engineerdata preprocessingfeature engineeringedge computingAi ResearchAnalyticslstmLightGBMARIMAEmbedded SystemsdeploymentAlgorithmsDeep LearningAi SolutionsArtificial Intelligence

    Section · Company

    About LG Soft India

    LG Soft India

    LG Soft India

    Consumer Electronics & Appliances

    2.1k+

    employees

    1996

    30 years old

    Bangalore / Bengaluru, Karnataka

    IN

    ₹10.5L PA avg

    Avg at LG Soft India

    About

    An innovation center within the LG Group focused on software development, contributing to talent growth and technological advancements in the Asia Pacific region.

    Industries

    Consumer Electronics & AppliancesAutomobileElectronicsSoftware Product

    Employee ratings

    10 reviews

    3.0/ 5

    Culture

    1.8

    Career growth

    1.9

    Work-life

    2.9

    Employees rate it well for

    Job Security36Work-Life Balance31

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