We seek a highly skilled and experienced Senior Machine Learning Engineer with extensive expertise in multimodal generative AI models, cross-modal architectures, and multimodal fusion techniques.
Requirements
- 5+ years experience in machine learning engineering, with at least 1 year focussed on generative AI or multimodal systems
- Strong hands-on experience with multimodal AI models including text-to-image, image-to-text, or other cross-modal applications
- Deep practical knowledge of either computer vision or NLP, with demonstrated ability to work across modalities
- Proficiency with generative model architectures such as diffusion models, transformer-based generative models, or GANs
- Strong programming skills in Python with extensive experience in PyTorch and HuggingFace ecosystem (Transformers, Diffusers, Accelerate)
- Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
- Proven track record of deploying ML models to production with understanding of model optimization, serving, and monitoring
- Strong problem-solving skills and the ability to think critically and creatively about novel multimodal applications