Machine Learning Engineer
Tasks
- Apply cosine similarity distance metrics and latent clustering for inference
- Build and fine tune convolutional and transformer neural architectures
- Collaborate on integration of AI pipelines into real time systems
- Design and implement machine learning pipelines for visual embedding
- Develop encoding and embedding techniques for cross data comparison
- Produce technical documentation for models training evaluation and system integration
- Train evaluate and deploy machine learning models with preprocessing augmentation and tuning
- Write clean well documented code and maintain version controlled model artifacts
Perks/Benefits
Skills/Tech-stack
Action Recognition | Computer Vision | Contrastive Learning | Convolutional Neural Networks | Cosine similarity | DVC | Data Augmentation | Data Preprocessing | Dimensionality Reduction | Distance metrics | Embedding | Facial recognition | Git | Hyperparameter Tuning | Image classification | Latent Clustering | Linux | MLOps | MLflow | Model Evaluation | Neural Networks | ONNX | Performance Profiling | Pose Estimation | PyTorch | Python | Semantic Matching | Similarity Inference | Space Modeling | TensorFlow | TensorRT | Transformers | Triplet Loss | Vector Space Modeling | Video Action Recognition | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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