Responsible AI Manager

Hobbsnews; Mountain View (CA); On-site; USD 214,007 - 261,564; Full time

Job summary

Accenture is seeking a Responsible AI Manager to lead end-to-end AI research projects in Mountain View, CA. You will guide multidisciplinary teams, apply state-of-the-art methods, and ensure ethical considerations are integrated into solutions.

The role requires a strong background in ML, Python, and cloud platforms, with travel as needed to meet client needs. Excellent publication and conference engagement are valued.

Qualifications

• Bachelor’s degree in CS / Engineering or related field and 5+ years in IT consulting.
• 5 years with ML model development and deployment (DL/NLP/CV).
• Proficient in Python/Java; experience with TF, PyTorch, Scikit-learn.
• Experience with Hadoop/Spark; data processing with Oracle/PostgreSQL.
• Cloud experience with AWS, Azure, Google Cloud; API development (Django/Flask/FastAPI).
• Version control: GitLab; containerization with Docker/Kubernetes.

Responsibilities

• Lead and oversee full lifecycle of advanced AI research projects.
• Provide strategic guidance to Responsible AI R&D team.
• Apply cutting-edge research to develop new AI tech and address challenges.
• Optimize AI systems for performance and ethics compliance.
• Develop policies, guidelines, and training for Responsible AI and generative AI.
• Stay updated on AI trends and contribute to publications and conferences.

Skills

ML models

Python

TensorFlow

PyTorch

Scikit-learn

Hadoop

Spark

AWS

Azure

Google Cloud

APIs

Gitlab

Docker

Kubernetes

NLP

Computer Vision

Education

Bachelor’s degree in Computer Science/Engineering or related field

Tools

Django

Flask

FastAPI

Gitlab

InnerSource

Docker

Kubernetes

Hadoop

Spark

Oracle

PostgreSQL

AWS

Azure

Google Cloud

Job description

Responsible AI Manager (Accenture LLP; Mountain View, CA): Accenture LLP has multiple openings for the position of Responsible AI Manager in Mountain View, CA, 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, Computational Mathematics, 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 or Computer Vision;
• Working with programming languages including Python, R, or Java;
• Utilizing AI and machine learning frameworks including TensorFlow, PyTorch or Scikit-learn;
• Developing and implementing big data technologies and tools including Hadoop and Spark;
• Data processing utilizing database management systems including Oracle or 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.

Pursuant tothe California Transparency Bill,the offered wage for thisroleis $237,786.00 per year.

Requesting an Accommodation

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