Lead Data Scientist
vor 2 Monaten
We are seeking a highly skilled and experienced Principal Engineer to join our team at Cisco. As a key member of our organization, you will be responsible for driving the development and implementation of cutting-edge AI technologies, including large language models and generative AI.
Key Responsibilities- Develop and optimize large language models and generative AI technologies, including training and fine-tuning.
- Analyze data to discover patterns and design, develop, evaluate, validate, and build scalable ML models for deep learning and generative AI products.
- 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.
- Collaborate with software engineers to deploy LLM and other Generative AI models into production environments.
- 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 hold Outshift to a high standard of technical rigor and excellence in AI.
- Be an enthusiastic and self-motivated collaborator with a can-do attitude.
- Be a product evangelist – engage directly with customers and partners, participate, and present in external events and conferences.
- 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.
- Design and build solutions to help customers reach successful pilots, PoCs and production deployments with generative AI and data science technologies.
- Consolidate learnings from these strategic engagements and present to the inbound product management teams to improve their products and platforms.
- 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.
- 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.
- Strong problem-solving skills and ability to work independently or in a team.
- PhD in machine learning, data science, engineering, computer science, mathematics, statistics, or highly quantitative field.
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