Advanced AI Research Scientist Assoc Director

Accenture; Des Moines (IA); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking an Advanced AI Research Scientist Associate Director to lead innovative AI and Machine Learning solutions. In this role, you will guide teams in developing cutting-edge algorithms, focusing on generative AI and LLMs. Your expertise will drive the creation of scalable solutions for real-world problems, collaborating with diverse teams to ensure project success. This position offers the opportunity to shape strategic research priorities while maintaining a deep understanding of AI trends. If you're passionate about AI and eager to make an impact, this role is for you.

Qualifications

• 7+ years of experience in designing neural network models.
• 6+ years of experience in building and fine-tuning foundation models.
• Strong knowledge of generative AI technologies.

Responsibilities

• Lead teams to implement AI methodologies and model building techniques.
• Design and develop advanced AI/ML models using generative techniques.
• Collaborate with cross-functional teams to meet project goals.

Skills

Deep Learning

Neural Networks

Generative AI

Machine Learning

Foundation Models

Team Management

Education

Bachelor's Degree

Associate's Degree

Tools

GPU Utilization

Self-Supervised Learning

Transfer Learning

Job description

We Are

Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the expertise of more than 40,000 AI and data professionals, our Generative AI and LLM Center of Excellence (http://www.accenture.com/us-en/services/applied-intelligence/generative-...) brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are

As an Advanced AI Research Scientist Associate Director, you will formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.

+ Lead teams and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, applying these techniques with appropriate architecture to solve real-world problems.

+ Maintain a deep understanding of generative AI, LLM, and multi-modal models, focusing on driving innovation by applying these techniques to new business problems, use cases, and scenarios.

+ Train and/or fine-tune generative AI models as needed for specific problems, and evaluate their effectiveness.

+ Justify the value of innovative generative AI or traditional Machine Learning approaches in business contexts, constructing methodologies that clearly demonstrate their value.

+ Set strategic research priorities and direct research efforts for both short-term and long-term workstreams.

+ Collaborate with cross-functional teams and leaders from both business and technical sides, including users, business owners, engineers, architects, and UI designers, to achieve project goals.

The Work

+ Engage in discussions to gather business use case requirements, providing AI expertise and solution options.

+ Design, develop, and implement advanced AI/ML models, especially LLMs and other Gen AI models, using techniques like self-supervised learning, transfer learning, and fine-tuning.

+ Develop sophisticated Gen AI applications, including generative agents, supporting multiple models for complex tasks.

+ Lead technical teams and foster AI expertise within broader teams, including offshore members.

+ Collaborate seamlessly across teams to prioritize requirements and ensure solutions meet stakeholder needs.

+ Develop and execute project plans, including timelines and infrastructure dependencies.

+ Define and implement value justification approaches, estimate costs, and calculate ROI for AI solutions.

+ Maintain comprehensive technical documentation to facilitate understanding, knowledge transfer, and future development.

+ Collaborate with academia and stay at the forefront of AI trends, providing leadership on AI opportunities, limitations, risks, and concerns.

Travel may be required, varying from 0 to 100% based on business needs.

Here's What You Need

+ Minimum of 7 years of experience in designing and developing neural network models, especially deep learning and foundation models.

+ Minimum of 6 years of experience in building and fine-tuning foundation models, including LLMs and multi-modal models.

+ Strong knowledge of technologies, modalities, and architecture patterns in the Generate AI space.

+ Experience with deep learning, neural networks, training large language models, and GPU utilization.

+ Familiarity with computer architecture and GPU fundamentals.

+ Proven experience in system-level performance modeling.

+ At least 4 years of team management or mentoring experience.

+ Bachelor's degree or equivalent (minimum 12 years of work experience); if holding an Associate’s Degree, a minimum of 6 years of work experience is required.

Information on benefits and salary ranges are provided, with specifics depending on location.