Deep Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Deep Learning Engineer with 3–5 years of experience in deep learning, focusing on computer vision and NLP. It is a 12-month renewable contract, hybrid location, requiring proficiency in Python and frameworks like PyTorch and TensorFlow.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 3, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#PyTorch #Deep Learning #Data Engineering #Transformers #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #NLP (Natural Language Processing) #Neural Networks #Deployment #Python #Object Detection #TensorFlow #NER (Named-Entity Recognition)
Role description
Deep Learning Engineer (Computer Vision, NLP)
Location: Hybrid
Start: ASAP
Duration: 12 months renewable
Build and train models that push the boundaries of vision and language
We’re hiring a Deep Learning Engineer to design and deploy advanced models in computer vision and natural language processing. You’ll work across foundational architectures and task-specific neural networks used in enterprise AI systems.
Key Responsibilities:
• Develop deep learning models for visual or language-based tasks (e.g. object detection, OCR, NER, summarisation)
• Train, fine-tune and evaluate models using PyTorch or TensorFlow
• Optimise inference pipelines and model performance for production
• Collaborate with data engineers and product teams to integrate AI features
Key Skills & Competencies:
• 3–5 years in deep learning or applied AI roles
• Experience with CNNs, RNNs, Transformers, and related architectures
• Proficiency in Python and frameworks like PyTorch, HuggingFace, or TensorFlow
• Familiarity with model compression, quantisation, and deployment best practices
This is a hands-on role for engineers who love turning cutting-edge research into real-world capability.
Deep Learning Engineer (Computer Vision, NLP)
Location: Hybrid
Start: ASAP
Duration: 12 months renewable
Build and train models that push the boundaries of vision and language
We’re hiring a Deep Learning Engineer to design and deploy advanced models in computer vision and natural language processing. You’ll work across foundational architectures and task-specific neural networks used in enterprise AI systems.
Key Responsibilities:
• Develop deep learning models for visual or language-based tasks (e.g. object detection, OCR, NER, summarisation)
• Train, fine-tune and evaluate models using PyTorch or TensorFlow
• Optimise inference pipelines and model performance for production
• Collaborate with data engineers and product teams to integrate AI features
Key Skills & Competencies:
• 3–5 years in deep learning or applied AI roles
• Experience with CNNs, RNNs, Transformers, and related architectures
• Proficiency in Python and frameworks like PyTorch, HuggingFace, or TensorFlow
• Familiarity with model compression, quantisation, and deployment best practices
This is a hands-on role for engineers who love turning cutting-edge research into real-world capability.
