Lead AI / ML Engineer

Accenture • Milwaukee, NY

6d • Hybrid

About The Position

Accenture’s Global Responsible AI team within the Global Data & AI Practice is seeking an experienced RAI Engineer with a Responsible AI background. This team works with leading organizations to ensure AI is designed, built, and deployed in a manner that engenders trust and adheres to laws, regulations, and ethical norms. The Responsible AI strategy aims to embed responsibility into all of Accenture’s data and AI activities, developing and deploying differentiated IP and Responsible AI solutions with ecosystem partners. The role involves engaging regulators, conducting pioneering research, and offering training through the Responsible AI Academy to help clients turn AI risks into opportunities. The ideal candidate is a problem solver passionate about data, excited by difficult modeling challenges, and enjoys working with like-minded individuals. They will be an outstanding technical specialist with strong communication skills for client and colleague interaction, helping to make Accenture's Responsible AI vision a reality for clients seeking to better serve customers and operate always-on enterprises. The focus is on making AI technology used equitably, ethically, and technically sound.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science (or related technical fields) or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
• Minimum of 6 years of experience in developing and deploying machine learning models and AI solutions.
• At least 2 years of experience in one or more of the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles.
• Proficiency in programming languages like Python, R, or Java.
• Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience on big data technologies and tools (e.g., Hadoop, Spark).
• Database management and data processing.
• Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, Google Cloud) related to AI.
• Demonstrated ability to work with complex datasets and perform data preprocessing and analysis.
• Strong problem-solving and analytical skills.
• Ability to work collaboratively in a team environment and communicate effectively with team members.
• Commitment to ethical AI development and continuous learning in the field.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• Excellent documentation and presentation skills for technical and non-technical audiences.

Nice To Haves

• Additional courses or training in areas related to responsible AI, ethics in technology, or similar fields.
• Certifications in AI, machine learning, or data science.
• + 6 years of experience in projects focused on ethical AI or AI for social good.
• Knowledge of AI ethics, data privacy, and regulatory frameworks.
• + 6 years of Experience with AI model interpretability and explainability tools.
• Specialized visualization techniques (D3.js, ggplot etc.)
• + 6 years of Project Management Experience
• Linguistic proficiency (to a reasonable business level) in a language other than English.

Responsibilities

• Developing and implementing AI models and solutions, focusing on ethical and responsible practices.
• Detecting, evaluating, and applying relevant RAI dimensions (bias, fairness, robustness, explainability, etc.) in AI systems; work on mitigating the identified risks.
• Supporting client sales conversations and proposal preparation.
• Optimizing and maintaining existing AI systems for enhanced performance and adherence to ethical standards.
• Participating in the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support.
• Contributing to the development of internal guidelines, best practices for responsible AI development, and technical training.
• Staying updated with current AI trends, ethical considerations, and technological advancements.
• Assisting in the identification and correction of biases in datasets and AI models.
• Documenting AI development processes and maintaining a transparent record of decisions and methodologies used.

Benefits

• medical, dental, vision, life, and long-term disability coverage
• a 401(k) plan
• bonus opportunities
• paid holidays
• paid time off

What This Job Offers

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