Responsible AI Engineer

Written by the T&S Network from Accenture's posting.

Responsible AI engineering work that assesses AI systems against predefined thresholds and benchmarks for responsible, ethical and sustainable practice, then designs and implements mitigation strategies so those standards are met. The role is a subject-matter expert position that engages across multiple teams on key decisions and cross-team problems.

What you'd do

• Assess AI systems against predefined thresholds and benchmarks for responsible, ethical and sustainable practices.
• Build technical mitigations that bring systems up to ethical and responsible standards.
• Build out responsible AI frameworks and put them into use.
• Run audits and assessments that check AI systems for ethical compliance.
• Work with cross-functional teams to weave responsible AI practices into their work.
• Engage with multiple teams and contribute to key decisions, including making team decisions.
• Propose fixes for issues that span several teams.

What it asks for

• Minimum 7.5 years of experience, with the posting also stating a minimum of 15 years in Responsible AI.
• Proficiency in Responsible AI.
• Solid working knowledge of statistics and machine learning methods.
• Hands-on work building linear regression, logistic regression, decision tree and clustering models.
• Solid grasp of data munging, including cleaning, transformation and normalization.
• Familiarity with data visualization tools such as Tableau or Power BI (preferred).

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Accenturenorth_east before you apply. If we got something wrong, report this listing.