Responsible AI Manager
Responsible AI Manager (Accenture LLP; Houston, TX): Accenture LLP has multiple openings for the position of Responsible AI Manager in Houston, TX, and the job duties are as follows:
- Lead and oversee the full lifecycle of advanced AI research projects, including analyzing complex business and technical problems, defining objectives, and directing multidisciplinary teams to design and implement innovative computing solutions.
- Provide strategic leadership and guidance to the Responsible AI R&D team.
- Apply theoretical expertise and cutting-edge research to adapt and create new AI technologies, leveraging state-of-the-art methods, open-source tools, and fundamental research to address emerging challenges.
- Optimize and maintain existing AI systems for enhanced performance and adherence to ethical standards.
- Develop and interpret organizational policies, guidelines, and best practices for Responsible AI, and design technical training programs for traditional AI and generative AI applications.
- Stay updated with current AI trends, ethical considerations, and technological advancements.
- Contribute to Accenture’s internal and external publications, write articles for leading journals, and be a speaker or panelist in conferences.
BASIC QUALIFICATIONS:
Must have a bachelor’s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.
Must have 5 years of experience in each of the following:
- Developing and deploying machine learning models and AI or ML solutions utilizing Deep Learning, Natural Language Processing and Computer Vision;
- Working with programming languages including Python, R, or Java;
- Utilizing AI and machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn;
- Developing and implementing big data technologies and tools including Hadoop and Spark;
- Database management and data processing utilizing Oracle and PostgreSQL;
- Managing cloud services and platforms including AWS, Azure, and Google Cloud;
- Performing Rapid API development with standard frameworks and tools including Django, Flask, and FastAPI;
- Working with fundamental version control practices and version control platforms including Gitlab and InnerSource; and
- Deploying and integrating API endpoints using containerization including Docker and Kubernetes.
Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.
To apply, please click the ‘APPLY’ button.
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