AI Engineer — Generative AI & Diffusion Models
Empresa confidencial
Job opportunity: AI Engineer — Generative AI & Diffusion Models
Part-Time | Project-Based | Immediate Start
We are looking for a hands-on AI Engineer with strong machine learning fundamentals and practical experience training and fine-tuning diffusion-based models.
Requirements:
- At least 2 years of relevant hands-on AI/ML experience.
- Strong understanding of diffusion models and their training processes.
- Practical experience fine-tuning diffusion-based models and debugging training pipelines.
- Strong Python and PyTorch skills.
- Ability to read research papers, understand the underlying methods, and translate them into working implementations.
- Ability to investigate technical problems independently and build AI-powered systems.
- Familiarity with Claude Code or similar AI coding tools, with the ability to critically evaluate and validate generated code.
- Available to start immediately.
Nice to Have:
- Kaggle competition experience or strong competitive ML projects.
- Experience with computer vision and image generation.
What We Offer:
- Project-based work with flexible, part-time engagement.
- Direct supervision and mentorship from a highly skilled Senior AI Engineer.
- An opportunity to deepen your expertise in advanced AI research, model training, and real-world AI systems.
To Apply:
Please send your CV to shroukmansour97@gmail.com with the subject line "AI Engineer role".
In your email, please include:
- Your earliest available start date.
- Whether you are currently engaged in another job or project.
- Your expected compensation for this project-based, part-time role.Requisitos
- At least 2 years of relevant hands-on AI/ML experience.
- Strong understanding of diffusion models and their training processes.
- Practical experience fine-tuning diffusion-based models and debugging training pipelines.
- Strong Python and PyTorch skills.
- Ability to read research papers, understand the underlying methods, and translate them into working implementations.
- Ability to investigate technical problems independently and build AI-powered systems.
- Familiarity with Claude Code or similar AI coding tools, with the ability to critically evaluate and validate generated code.
- Available to start immediately.
Diferenciais
- Kaggle competition experience or strong competitive ML projects.
- Experience with computer vision and image generation.