Advanced AI Research Scientist Associate Manager

Advanced AI Research Scientist Associate Manager

Requirements

• Minimum of 4 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models.
• Minimum of 4 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models.
• Minimum of 4 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space.
• Minimum of 4 years of working knowledge and familiarity with different LLM driven application architecture patterns.
• Minimum of 4 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs.
• Minimum of 4 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture.
• Minimum of 4 years of proven experience with processor and system-level performance modelling.
• Minimum of 2 years of experience of technical team management or team mentoring.
• Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years’ work experience)

Responsibilities

• Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems.
• Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques.
• Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks.
• Lead technical teams and grow true AI expertise within broader team including offshore.
• Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders.
• Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency.
• Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI.
• Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development.
• Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns.

Preferred Qualifications

No preferred qualifications provided.