AI/ML Engineer - 6161179

Accenture • Charlotte, NC

1d • Onsite

About The Position

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. Key Responsibilities: As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services, ensuring they meet production-ready quality standards. You will apply Generative AI models as part of the solution, which may include 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, and be responsible for team decisions. Engaging with multiple teams, you will contribute to key decisions and provide solutions to problems for your immediate team and across various teams. Design and implement innovative AI solutions that address complex business challenges. Continuously evaluate and improve existing AI models and systems for enhanced performance. Collaborate with cross-functional teams to integrate AI capabilities into various applications. Mentor junior team members and share knowledge on best practices in AI development. Stay updated on the latest trends and advancements in AI technology to drive innovation.

Requirements

• 7+ years of total IT experience
• 2-3 years of relevant skill experience in developing AI Agents and LLE modules
• Strong proficiency in Python and associated libraries (e.g., pandas, scikit-learn)
• Experience working with large datasets, data modeling, and SQL
• Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field
• Advanced proficiency in AI Agents is required.
• Role required onsite client work 60% (3 days per week) in Charlotte, NC or Dallas/Plano, TX

Nice To Haves

• Advanced proficiency in Large Language Model (LLM) Fine-Tuning is recommended.
• Experience in Natural Language Processing (NLP) or Computer Vision
• Knowledge of big data technologies (Spark, Hadoop)

Responsibilities

• Developing applications and systems that utilize AI tools and Cloud AI services, ensuring they meet production-ready quality standards.
• Apply Generative AI models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing.
• Collaborate and manage the team to perform effectively, and be responsible for team decisions.
• Engage with multiple teams, you will contribute to key decisions and provide solutions to problems for your immediate team and across various teams.
• Design and implement innovative AI solutions that address complex business challenges.
• Continuously evaluate and improve existing AI models and systems for enhanced performance.
• Collaborate with cross-functional teams to integrate AI capabilities into various applications.
• Mentor junior team members and share knowledge on best practices in AI development.
• Stay updated on the latest trends and advancements in AI technology to drive innovation.

Benefits

• Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level