Deep Learning Engineer
2 days ago
Job Description:
We are looking for an experienced TensorFlow Developer with at least
3 years
of hands-on expertise in building, training, and deploying deep learning models. The project involves developing a high-accuracy image classification pipeline using an already prepared dataset of labeled images. The final deliverable is a fully optimized TensorFlow Lite (.tflite) model ready for deployment on mobile or embedded systems.
Project Details:
- You will preprocess the dataset, apply augmentations if needed, and prepare it for training.
- Choose or fine-tune an appropriate architecture that balances accuracy with model size (e.g., EfficientNet-Lite, MobileNet, or another suitable lightweight model).
- Train and validate the model until reliable and agreed accuracy benchmarks are met.
- Provide clear metrics (accuracy, loss curves, validation performance, etc.) at each stage of training for transparency.
- Convert the final model into TensorFlow Lite format with optimizations (preferably quantization) enabled.
- Test the TFLite model to ensure the output signatures are functional.
- Deliver the following assets:
- The .tflite model file
- Label map
- Training and inference scripts (so the model can be reproduced or updated in the future)
Requirements:
- Minimum 3 years of professional experience with
TensorFlow and deep learning
. - Strong expertise in Python programming.
- Solid understanding of neural networks, image classification, and model optimization for mobile/embedded devices.
- Proficiency in preprocessing pipelines, image processing, and computer vision tasks.
- Hands-on experience with TensorFlow Lite conversion and optimization techniques (quantization, pruning, etc.).
- Ability to communicate progress clearly with metrics and timelines.
Skills Required:
- Python
- Machine Learning (ML)
- Deep Learning
- Neural Networks
- Computer Vision
- Image Processing
- AI Model Development
What We Expect:
- Fast turnaround – this is a time-sensitive project.
- Clear outline of your availability, expected training schedule, and any questions regarding the dataset before starting.
- A reliable, high-quality model that performs well in production environments.
How to Apply:
Please share:
- Your resume/CV -
- Relevant project experience (portfolio, GitHub, or examples of deployed models)
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