Responsible AI Engineer jobs in United States
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Accenture · 10 hours ago

Responsible AI Engineer

Accenture’s Global Responsible AI team is focused on ensuring AI is designed and deployed responsibly. They are seeking a Responsible AI Engineer to develop AI models and solutions while addressing ethical considerations such as fairness and transparency.

Business Information SystemsConstructionConsultingInformation ServicesInformation TechnologyInfrastructureManagement ConsultingOutsourcing
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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

Qualification

AI model FairnessExplainabilityMachine LearningPythonDeep LearningNatural Language ProcessingCloud ServicesData ProcessingEthical AI commitmentProblem-solving skillsTeam collaborationDocumentation skills

Required

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 3 years of experience in developing and evaluating machine learning models and AI solutions. At least 2 from the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Time Series Forecasting, Tree Ensembles, Deep Learning, Neural Networks, Generative AI, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Machine Learning Visualization Tools
Minimum of 3 years of experience in the following: Proficiency in programming languages like Python, R, or Java, Familiarity with AI and machine learning frameworks (e.g., Scikit-learn, TensorFlow, or PyTorch), Rapid API development with standard frameworks and tools (E.g. Django, Flask, or FastAPI), Fundamental version control practices and proficiency in version control platforms (e.g. GitHub, Bitbucket, etc), Experience with database management and data processing, Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, or 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

Preferred

Managerial experience leading teams
Experience in big data technologies and tools (e.g., Hadoop, Spark)

Company

Accenture

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Accenture is a professional services company that provides solutions in strategy, consulting, digital, technology and operations.

Funding

Current Stage
Public Company
Total Funding
$6M
Key Investors
Youth Business International
2018-10-01Grant· $6M
2001-07-27IPO

Leadership Team

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Christie Smith
Senior Managing Director, Global CEO Transformation: Strategy & Consulting Lead
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Jeff Laue
CEO and Senior Managing Director of Accenture Digital Inside Sales
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Company data provided by crunchbase