Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.

As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.

You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.

As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize artificial intelligence tools and cloud artificial intelligence services, ensuring proper cloud or on-premises application pipelines with production-ready quality. Your work will include applying generative artificial intelligence models as part of the solution and may involve deep learning, neural networks, chatbots, and image processing. You are expected to be a subject matter expert, collaborate and manage the team to perform effectively, take responsibility for team decisions, engage with multiple teams, contribute to key decisions, and provide solutions to problems within your immediate team and across multiple teams. Expert proficiency in Machine Learning (ML) is required. Expert proficiency in Database Architecture is recommended. Expert proficiency in Large Language Model (LLM) Fine-Tuning, along with advanced proficiency in Foundation Model Fine Tuning, Foundation Models, and AI Agents, is suggested. Additional responsibilities include:

• Lead the design and implementation of scalable machine learning solutions that meet project requirements and quality standards.

• Collaborate closely with cross-functional teams to integrate artificial intelligence models into existing systems and workflows.

• Analyze complex data sets to identify opportunities for enhancing model performance and operational efficiency.

• Support and mentor colleagues by sharing expertise and promoting best practices in artificial intelligence and machine learning.

• Drive innovation by exploring emerging technologies and proposing improvements to current artificial intelligence applications.