Machine Learning Engineer (GenAI & Multimodal Systems) - Creative Tech Studio (Brazil)

5+ years of machine learning engineering experience. 1+ year specifically in generative AI or multimodal systems. Strong practical experience with multimodal models (text-to-image, image-to-text, cross-modal retrieval, etc.). Deep expertise in either computer vision or NLP with readiness to work across modalities. Hands-on experience with generative model architectures: diffusion models, transformer-based models, or GANs. Expert-level Python skills. Extensive experience using PyTorch and the Hugging Face ecosystem (Transformers, Diffusers, Accelerate). Experience deploying and maintaining ML models in production. Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML). Strong analytical, creative problem-solving, and experimentation skills. Ability to communicate complex technical concepts clearly to diverse teams.

Design, build, and deploy multimodal AI systems across text, image, audio, and cross-modal retrieval/generation. Implement, fine-tune, and optimize modern generative architectures (Diffusion Models, Transformers, GANs). Collaborate with research, product, and MLOps teams to translate research into production applications. Architect and manage end-to-end ML pipelines. Develop and apply model-adaptation techniques (LoRA, P-Tuning, full fine-tuning). Optimize models for inference (quantization, pruning, distillation, compilation). Conduct rigorous experiments and maintain reproducibility standards. Stay current with emerging research and propose innovative approaches.