Generative AI & AI/ML Engineer

As a Generative AI & AI/ML Engineer at Evonence, you will be responsible for driving end-to-end AI solution development, from architecture and model training to responsible deployment and mentorship. This role is a perfect blend of research, engineering, and leadership, suitable for individuals with a solid academic background and hands-on experience in production-level AI systems. Key Responsibilities: - Lead AI initiatives and foster innovation in generative models. - Evaluate and incorporate cutting-edge AI trends from academic papers, NeurIPS, CVPR, etc. - Serve as a go-to authority for generative AI direction. - Design production-grade AI systems utilizing frameworks like transformers, GANs, or diffusion models. - Focus on enhancing performance, scalability, and security, proposing deployment on distributed platforms. - Develop and fine-tune large-scale models. - Implement Responsible AI practices to mitigate bias and enhance transparency. - Act as a bridge between research and product teams. - Mentor junior engineers, promote cross-team collaboration, and influence internal AI strategy. Qualifications Required: - Advanced degree (PhD or Master's) in AI/ML or related fields. - Proficiency in transformer architectures, GANs, and diffusion models. - Experience with Python, TensorFlow, JAX, and distributed computing. - Strong understanding of natural language processing, computer vision, or multi-modal AI. Additional Company Details (if present in the JD): Omit this section as there are no additional company details provided in the job description.,