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

- Robust 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.

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