Accenture Global Responsible AI team within the Global Data & AI Practice focuses on ensuring AI technologies are developed and deployed responsibly, adhering to ethical norms and regulatory requirements. They collaborate with leading organizations to integrate responsible AI practices into all data and AI activities.
Responsibilities
As a Responsible AI Engineer at Accenture, you will.
- Develop and implement AI models and solutions with a strong emphasis on ethical and responsible practices.
- Detect, evaluate, and apply relevant Responsible AI dimensions (bias, fairness, robustness, explainability, etc.) in AI systems, actively mitigating identified risks.
- Optimize and maintain existing AI systems to enhance performance and compliance with ethical standards.
- Participate in the full AI development lifecycle, from data preparation to deployment and support.
- Contribute to internal guidelines and best practices for responsible AI development and provide technical training.
- Stay updated with AI trends, ethical considerations, and technological advancements.
- Assist in identifying and correcting biases in datasets and AI models, ensuring transparency in AI development processes.
Requirements
Minimum 5 years of experience in.
- Developing and deploying machine learning models and AI solutions.
- Proficiency in programming languages such as Python, R, or Java.
- Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Hadoop, Spark) and database management.
- Understanding of cloud services and platforms related to AI (e.g., AWS, Azure, Google Cloud).
- Ability to work with complex datasets, perform data preprocessing, and analysis.
- Bachelor’s degree or college diploma in Computer Science, Artificial Intelligence, Data Science, or related fields.
Professional Skills Requirement
- Strong problem-solving and analytical skills.
- Ability to work collaboratively in a team environment and communicate effectively.
- Commitment to ethical AI development and continuous learning.
- Excellent documentation and presentation skills.
Bonus Points
- Additional courses or training in responsible AI, ethics in technology, or related fields.
- Certifications in AI, machine learning, or data science.
- Prior experience in projects focused on ethical AI or AI for social good.
- Knowledge of AI ethics, data privacy, and regulatory frameworks.
- Experience with AI model interpretability and explainability tools.
- Project management experience.
- Proficiency in a language other than English.
Compensation and Location
- Role Location. British Columbia
- Annual Salary Range. $60,600 to $158,900 (compensation varies based on factors such as location, role, skills, and experience)
Additional Information. Travel may be required for this role depending on business needs and client requirements.