Capgemini
AI Engineer with Computer Vision
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Job Description
Remote Contract (2 months 20 days) Published 11 hours ago agile development api integration aws cloud mlops DevOps & CI/CD terraform Vector DB Java/Python programming AI Engineering AI Engineer to design, develop, and deploy AI-powered solutions supporting content creation, marketing asset generation, and media workflow automation — with a core focus on multimodal (image, video, text) content processing, including character, content, and image recognition. The ideal candidate will have strong hands-on expertise in computer vision and multimodal AI, cloud platforms, and software engineering best practices.
Required Qualifications
- 7+ years of software engineering experience with strong SDLC and version control knowledge.
- Strong proficiency in Python, with experience in Java, JavaScript, or Golang.
- Hands-on Computer Vision experience is required — building or fine-tuning custom recognition/detection models (not limited to calling a managed vision API).
- Hands-on experience building and integrating LLM-based applications.
- Experience with multimodal AI models across image, audio, and text — including vision-language models for open-ended content understanding (e.g., GPT-4V, Claude vision, Gemini multimodal, LLaVA, or similar).
- Experience with video processing: frame extraction, scene segmentation, and tracking entities across frames.
- 5+ years AWS and 1+ year Azure experience.
- Experience with scalable solutions using AWS, Azure, and Infrastructure as Code (Terraform).
- Strong understanding of digital and broadcast production workflows.
- Experience with system architecture, API integrations, and performance engineering.
- Strong knowledge of AI industry trends and best practices.
- Experience working in Agile teams and code review environments.
Preferred Skills
* Experience training/fine-tuning models to recognize proprietary or branded visual content (e.g., a studio's own characters or assets not known
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