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Advanced Machine Learning Engineer & Arc

$100/hr Starting at $80

Advanced Machine Learning Engineer & Architect


Specializing in:

• Deep Learning & Neural Networks

• Supervised & Unsupervised Learning

• Reinforcement Learning

• Ensemble Methods & Model Optimization

• Large-Scale ML Systems


Core Services:

1. Advanced ML Model Development

   - Deep Neural Networks (CNN, RNN, LSTM)

   - Transformer Architectures

   - Generative Adversarial Networks (GANs)

   - Ensemble Learning Systems

   - Custom ML Algorithms


2. ML Model Optimization

   - Hyperparameter Tuning

   - Model Architecture Search

   - Feature Engineering & Selection

   - Model Compression & Quantization

   - Performance Optimization


3. Production ML Systems

   - Distributed Training Pipelines

   - Real-time Model Serving

   - A/B Testing Frameworks

   - Model Monitoring & Observability

   - Automated Retraining Systems


Technical Expertise:

• Deep Learning Frameworks

  - PyTorch, TensorFlow, Keras

  - JAX, MXNet, FastAI

  - Custom Framework Development


• Advanced ML Algorithms

  - Attention Mechanisms

  - Graph Neural Networks

  - AutoML Systems

  - Bayesian Optimization

  - Meta-Learning


• ML Infrastructure

  - GPU/TPU Optimization

  - Distributed Computing

  - Model Versioning

  - Feature Stores

  - ML Pipeline Automation


• Model Deployment & MLOps

  - Container Orchestration

  - Model Serving Optimization

  - CI/CD for ML

  - Model Registry Management

  - Performance Monitoring


About

$100/hr Ongoing

Download Resume

Advanced Machine Learning Engineer & Architect


Specializing in:

• Deep Learning & Neural Networks

• Supervised & Unsupervised Learning

• Reinforcement Learning

• Ensemble Methods & Model Optimization

• Large-Scale ML Systems


Core Services:

1. Advanced ML Model Development

   - Deep Neural Networks (CNN, RNN, LSTM)

   - Transformer Architectures

   - Generative Adversarial Networks (GANs)

   - Ensemble Learning Systems

   - Custom ML Algorithms


2. ML Model Optimization

   - Hyperparameter Tuning

   - Model Architecture Search

   - Feature Engineering & Selection

   - Model Compression & Quantization

   - Performance Optimization


3. Production ML Systems

   - Distributed Training Pipelines

   - Real-time Model Serving

   - A/B Testing Frameworks

   - Model Monitoring & Observability

   - Automated Retraining Systems


Technical Expertise:

• Deep Learning Frameworks

  - PyTorch, TensorFlow, Keras

  - JAX, MXNet, FastAI

  - Custom Framework Development


• Advanced ML Algorithms

  - Attention Mechanisms

  - Graph Neural Networks

  - AutoML Systems

  - Bayesian Optimization

  - Meta-Learning


• ML Infrastructure

  - GPU/TPU Optimization

  - Distributed Computing

  - Model Versioning

  - Feature Stores

  - ML Pipeline Automation


• Model Deployment & MLOps

  - Container Orchestration

  - Model Serving Optimization

  - CI/CD for ML

  - Model Registry Management

  - Performance Monitoring


Skills & Expertise

Computer VisionDeep Neural NetworksMachine LearningMachine Learning AlgorithmsModelingNatural Language ProcessingNeural NetworksOpenCVPerformance EngineeringPythonRegression AnalysisSoftware DeploymentSoftware Testing

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