Freelance AI Software Engineer: Edge & CV/NLP

Imolaengineering

Italia

On-site

EUR 68,880 - 206,640

Full time

14 days+

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Job summary

Imolaengineering is seeking a Junior / Mid AI Software Engineer on a freelance basis to integrate intelligent features from prototypes to finished products. You will work on computer vision and deep neural networks, applying edge AI or cloud-based ML solutions.

This flexible collaboration suits freelancers seeking meaningful AI challenges without a full-time commitment, with opportunities to contribute across hardware, firmware, and cloud interfaces.

Qualifications

  • Experience integrating AI models into software systems.
  • Familiarity with edge deployment and optimization techniques (TensorRT, ONNX).
  • Hands-on work with computer vision, NLP embeddings, and retrieval-augmented generation.
  • Proficient coding in Python and/or C++ for AI integration.
  • Ability to prepare data pipelines and assist model fine-tuning.
  • Collaborate with hardware, firmware, and cloud engineers on full-stack solutions.
  • Document work and share insights to guide design decisions.

Responsibilities

  • Integrate AI models into new or existing software systems.
  • Support edge deployment with relevant optimizations (TensorRT, ONNX Runtime).
  • Work with NLP models to generate embeddings and build RAG pipelines.
  • Write clean, modular, and scalable code for AI integration (Python, C++, or similar).
  • Contribute to dataset preparation, pre/post-processing, and fine-tuning.
  • Collaborate with hardware, firmware, and cloud engineers to build full-stack solutions.
  • Document work and share insights to guide design decisions.

Skills

Strong problem solving
Team collaboration
Communication
Self-motivation

Tools

Python
C++
TensorRT
ONNX Runtime
Docker

Job description

Imolaengineering is seeking a Junior / Mid AI Software Engineer on a freelance basis to integrate intelligent features from prototypes to finished products. You will work on computer vision and deep neural networks, applying edge AI or cloud-based ML solutions.

This flexible collaboration suits freelancers seeking meaningful AI challenges without a full-time commitment, with opportunities to contribute across hardware, firmware, and cloud interfaces.

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