Responsible AI Manager

Accenture

Quick summary

Work type
On-site
Location
Houston, TX
Posted
44 days ago

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Salary context

How this pay compares to similar roles

Similar $209k
$163k most similar roles pay here $255k

This listing doesn't post a salary. Most similar roles pay $172,675–$246,150.

Based on 240 similar postings.

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About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 131 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 89 roles with salary data.

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At a glance

TL;DR · Responsible AI Manager

As a Responsible AI Manager at Accenture LLP in Houston, TX, you will lead the full lifecycle of advanced AI research projects by analyzing complex business and technical problems, defining objectives, and directing multidisciplinary teams to design innovative computing solutions. You will apply theoretical expertise to adapt and create new AI technologies using state-of-the-art methods and open-source tools while optimizing existing systems for ethical standards. Key responsibilities include developing organizational policies and training programs for Responsible AI, staying updated with current trends, and contributing to internal and external publications and conferences. The role requires experience in deploying machine learning models using frameworks like TensorFlow and PyTorch, working with big data technologies such as Hadoop and Spark, managing cloud services including AWS and Azure, and utilizing version control platforms like GitLab. This position is ideal for someone passionate about ethical AI practices at a large-scale consultancy firm.

What you'll do

  • Lead the full lifecycle of advanced AI research projects, from analysis to implementation.
  • Provide strategic guidance and leadership for Responsible AI R&D initiatives.
  • Adapt and create new AI technologies using state-of-the-art methods and tools.
  • Optimize existing AI systems for better performance and ethical compliance.
  • Develop organizational policies and training programs for Responsible AI practices.

What we're looking for

  • Extensive experience in developing and deploying machine learning models with Deep Learning, NLP, and CV.
  • Proficiency in Python, R, Java, TensorFlow, PyTorch, Scikit-learn for AI/ML solutions.
  • Expertise in big data technologies like Hadoop and Spark, and database management with Oracle and PostgreSQL.
  • Strong skills in cloud services (AWS, Azure, Google Cloud) and API development frameworks (Django, Flask).
  • Experience in version control platforms (GitLab, InnerSource) and containerization tools (Docker, Kubernetes).
  • Leadership in optimizing AI systems for performance and ethical standards.

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