Cisco Principal Engineer 

Switzerland, Zurich 

352143074

Your Responsibilities Will Include

. Drive the Generative AI strategy, adapt various Gen AI models for quality and performance for new products.

. Analyze data to discover patterns, design, develop, evaluate, validate, and build scalable ML models for deep learning and generative AI products

. Develop, implement, and optimize LLMs and generative AI technologies, including training/finetuning and computation optimizations

. Conduct research and development into innovative AI/ML/Gen AI models using state-of-the-art tools and techniques, develop new algorithms and systems for reasoning using text, image, video, audio, and multimodal inputs.

. Collaborate with product managers to understand business requirements, and work with peer engineers and scientists to build prototypes

. Stay up to date with the latest advancements in the field of Generative AI

. Test and integrate successful models and algorithms into production systems that operate at very large scale

. Mentor applied scientists and engineers globally and holding Outshift to a high standard of technical rigor and excellence in AI

Minimum Requirements

. Hands-on experience developing, implementing, and optimizing large language models and generative AI technologies, including training/finetuning and computation optimizations.

. Understanding and hands-on experience in natural language processing, computer vision, and multimodal interaction

. PhD degree and 10+ years, or Master’s degree and 15+ years in CS, CE, ML, or related fields with a consistent track record of developing and delivering models for enterprise class products that created successful business outcomes.

. 7+ years of experience in Java, C++, Python (or related languages) and hands-on experience with deep learning frameworks

Preferred Skills

. Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories

. Practical experience in system design, software development, and production deployment

. Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving

. Familiarity with the latest advancements in computer vision and multimodal modeling such as CLIP, DALL-E2, and diffusion models

. Top-tier performance in prestigious deep learning leaderboards or large model-related competitions.

. Having an impressive set of GitHub projects or contributions to open-source technologies

. PhD in machine learning, data science, engineering, computer science, mathematics, statistics, or highly quantitative field

We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).