Senior AI Engineer

5–8+ years of industry experience in machine learning, with specialization in computer vision. Strong expertise with Generative AI techniques (Diffusion models, GANs, Vision Transformers, Multimodal architectures). Hands-on experience with fine-tuning and training large vision or multimodal models using PyTorch, JAX, or TensorFlow. Advanced skills in Python, ML frameworks (PyTorch preferred), and model training toolchains. Proven experience building and shipping production ML/CV systems at scale. Strong understanding of computer vision algorithms, representation learning, training optimization, retrieval/embedding systems, and data curation. Experience working in customer-facing or solution-oriented environments.

Design, develop, and deploy Generative AI models and pipelines for computer vision tasks. Build and optimize large-scale ML training workflows. Fine-tune and adapt vision, multimodal, or foundation models. Develop scalable inference systems for computer vision applications. Collaborate with product, solutions, and engineering teams. Conduct rapid prototyping for proof-of-concept and customer demos. Own the end-to-end lifecycle of GenAI/CV features. Stay current with cutting-edge research in generative modeling. Provide mentorship and technical leadership to junior ML engineers.