Deep Learning Engineer

Linnk Group; United States; Hybrid; USD 85,000 - 720,000; Full time

Job summary

A leading company in technology is seeking a Deep Learning Engineer to design and deploy transformative models in computer vision and natural language processing. This role involves developing cutting-edge AI systems by collaborating closely with data engineers, refining model performance, and integrating new AI features into existing platforms. Ideal candidates will have a solid background in neural networks and proficiency in Python alongside experience with popular frameworks.

Qualifications

• 3–5 years in deep learning or applied AI roles.
• Experience with CNNs, RNNs, Transformers.
• Familiarity with model compression and deployment.

Responsibilities

• Develop deep learning models for visual or language-based tasks.
• Train, fine-tune and evaluate models using PyTorch or TensorFlow.
• Optimize inference pipelines for production.

Skills

Python

Deep Learning

PyTorch

TensorFlow

Natural Language Processing

Computer Vision

Job description

1 week ago Be among the first 25 applicants

Location: Hybrid

Start: ASAP

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
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Industries

  Information Technology & Services and Energy Technology

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