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“Promptapp matched us with two senior TensorFlow engineers who converted our vision models to TF Lite for iOS and Android. Frame rates tripled.”
Brandon Shaw
VP of Mobile Engineering, VisiEdge
Hire pre-vetted TensorFlow developers who turn complex deep learning models into production-grade enterprise software. From custom Keras architectures and distributed TPU training to edge deployment with TF Lite and high-throughput serving with TFX.
A straightforward matching process connecting your team with senior deep learning engineers who understand production scale.
We review your ML use case, data pipelines (tf.data), target serving latency, and preferred deployment hardware.
We shortlist 2-3 pre-vetted TensorFlow developers tailored to your exact domain, model architecture, and time zone.
You conduct live code interviews with shortlisted candidates to evaluate neural network design and team fit.
Zero paperwork delays—your dedicated developer integrates into your GitHub repo and starts shipping production commits.
Every developer we place is experienced in turning experimental TensorFlow research into dependable, high-throughput software.
Complete end-to-end MLOps automation—from data validation (TFDV) and feature transforms to continuous model deployment.
Quantizing and deploying lightweight neural networks directly on iOS, Android, Raspberry Pi, and Edge TPU microcontrollers.
Accelerating massive model training runs using Google Cloud TPU Pods and multi-worker MirroredStrategy distributed setups.
You retain complete custody over all SavedModel graphs (.pb), checkpoints, custom training loops, and commercial licensing.
Building real-world deep learning systems requires disciplined engineering and hardware efficiency. We ensure both:
Flexible talent models adapted to rapid prototyping sprints, enterprise scale-ups, and ongoing production support.
Senior TensorFlow developers integrated directly into your internal engineering team, working your hours and reporting to your technical leads.
A full autonomous machine learning unit—data engineers, model researchers, and MLOps architects executing against your product deliverables.
Milestone-governed project delivery focused on fine-tuning an existing model, porting to TensorFlow Lite, or building production TFX pipelines.
Full-spectrum deep learning expertise covering every layer of the modern TensorFlow and Keras software stack.
Subclassed Keras layers, custom loss functions, multi-input multi-output networks, and bespoke training loops utilizing GradientTape.
Containerized gRPC and REST serving microservices with dynamic request batching, model versioning, and sub-millisecond p99 latency.
Quantizing and deploying neural networks on iOS (CoreML/TFLite), Android, Raspberry Pi, and Edge TPUs for instant on-device inference.
Production ML pipelines with TensorFlow Data Validation (TFDV), Transform (TFT), and Model Analysis (TFMA) for continuous retraining.
Distributed model training scaled across Google Cloud Vertex AI, multi-worker MirroredStrategy, and high-performance TPU v4/v5 pods.
Object detection (YOLO/SSD), image segmentation, and Vision Transformers adapted from the official TensorFlow Model Garden.
BERT, RoBERTa, and multilingual text classifiers fine-tuned for semantic search, entity recognition, and sentiment classification.
Freezing SavedModel graphs, pruning redundant weights, and compiling with NVIDIA TensorRT (TF-TRT) for optimized GPU inference.
Our operational track record across commercial TensorFlow deployments powering live enterprise software:
Real feedback from CTOs and engineering directors who hired TensorFlow developers through Promptapp.
“Promptapp matched us with two senior TensorFlow engineers who converted our vision models to TF Lite for iOS and Android. Frame rates tripled.”
“Their team built our entire TFX continuous training pipeline on Google Cloud Vertex AI. Model retraining is now 100% automated.”
“We needed TensorFlow Serving deployed with gRPC dynamic batching for peak black Friday loads. Promptapp delivered with zero downtime.”
Everything you need to know about hiring dedicated TensorFlow engineers through Promptapp.