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Master's degree and 5+ in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics or related field. Bachelor 's degree and 5+ years' experience in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics or related field.
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At least 2 from 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.
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Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields or equivalent (minimum 12 years) work experience. Certifications in AI, machine learning, or data science.
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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.
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Knowledge of AI ethics, data privacy, and regulatory frameworks. Experience in developing and deploying machine learning models and AI solutions. Experience with database management and data processing.
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Participating in the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support. Specialized visualization techniques (D3. Demonstrated ability to work with complex datasets and perform data preprocessing and analysis.
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Our Responsible AI strategy will enable us to embed responsibility into all of Accenture's data and AI activities. Accenture's Global Responsible AI team within the Global Data & AI Practice.
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Commitment to ethical AI development and continuous learning in the field. You'll be a problem solver who is passionate about all things data. Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, Google Cloud) related to AI.
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We work 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. We're developing and deploying differentiated IP and Responsible AI solutions with our ecosystem partners.
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If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at [redacted], send us an email or speak with your recruiter.
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Inclusion and diversity are fundamental to our culture and core values. At the forefront of the industry, you'll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises.
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We'll be engaging regulators to help shape the policy agenda, conducting pioneering research with academia and offer training and resources to our clients through the Responsible AI Academy. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.
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We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
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Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement.
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Accenture is committed to providing veteran employment opportunities to our service men and women. As a Responsible AI Engineer, you'll be experienced in building state of the art models to solve difficult business challenges.
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