Develop proprietary AI platform for visual production, combining model experimentation, infrastructure, optimization, and applied generative AI workflows. Work on structured image generation, visual consistency, and 2D animation parameterization. Utilize PyTorch, Hugging Face, and CUDA.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Machine Learning Engineer (Generative AI)
A Lisbon-based game studio is expanding its in-house infrastructure for open-source generative models, with a strong focus on local experimentation, model adaptation, fine-tuning, and high-performance inference on high-end GPUs.
This role is ideal for candidates who want to work close to real production constraints, combining model experimentation, infrastructure, optimization, and applied generative AI workflows in an on-site environment.
You will work on the development of a proprietary AI platform for visual production, focused on structured image generation, visual consistency across outputs, 2D animation parameterization, and the integration of results into scalable production pipelines.
We are looking for someone with hands-on experience in:
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• PyTorch / Hugging Face
• Fine-tuning and model adaptation
• Dataset curation and preparation
• Local inference and performance optimization
• CUDA / VRAM / multi-GPU
Nice to have:
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• Diffusion and vision-language models
• Character consistency / identity control
• GitHub / publications / technical portfolio
Annual compensation:
€30,000–€45,000
On-site in Lisbon | Relocation support available
Send CV + LinkedIn / GitHub to:
AI@DARKCLOUD.GAMES
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