Responsible AI Engineer: Build Trusted AI at Scale

7600 Accenture Pte Ltd Company

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

Accenture is seeking a skilled AI/ML engineer within the Global Responsible AI team to design, deploy and monitor responsible AI solutions. You will work on bias reduction, robustness, explainability and regulatory alignment across the AI lifecycle.

The role involves collaborating with data scientists, engineers and clients, contributing to internal guidelines and training, and staying ahead of AI ethical standards. A strong programming and cloud background is essential.

Qualifications

  • Bachelor's degree in CS, AI, Data Science or related field or equivalent work exp required
  • 3+ years of experience in ML model development and deployment
  • 2+ of the following areas: statistics, ML methods, NLP, CV, or related fields
  • 5+ years of hands-on programming in Python, R or Java
  • Experience with ML frameworks (scikit-learn, TF, PyTorch) and rapid API development (Django, Flask, FastAPI)
  • Version control experience (GitHub, Bitbucket) and data processing
  • Cloud services knowledge (AWS/Azure/GCP)
  • Experience with complex datasets and data preprocessing
  • Demonstrated ability in prompt injection testing and model vulnerability assessment
  • Familiarity with responsible AI practices and documentation workflows

Responsibilities

  • Develop and deploy ML models with ethical and responsible practices
  • Assess and mitigate AI risks including bias, fairness, robustness, explainability
  • Support client sales conversations and proposal prep
  • Maintain and optimize AI systems for performance and compliance
  • Participate in full AI development lifecycle from data prep to deployment
  • Contribute to internal guidelines and best practices for responsible AI
  • Stay updated on AI trends and ethical considerations
  • Identify and correct dataset/model biases and document methodologies

Skills

Python
R
Java
Statistics & probability
Regression modelling
Clustering methods
Time series forecasting
Deep learning
Neural networks
Natural language processing
Text mining
Computer vision
Image recognition
ML visualization tools
Prompt injection & jailbreak testing
Model vulnerability assessment
Promptfoo Rebuff PyRIT

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field

Tools

Scikit-learn
TensorFlow
PyTorch
Django
Flask
FastAPI
GitHub
Bitbucket
AWS
Azure
Google Cloud
SQL

Job description

Accenture is seeking a skilled AI/ML engineer within the Global Responsible AI team to design, deploy and monitor responsible AI solutions. You will work on bias reduction, robustness, explainability and regulatory alignment across the AI lifecycle.

The role involves collaborating with data scientists, engineers and clients, contributing to internal guidelines and training, and staying ahead of AI ethical standards. A strong programming and cloud background is essential.

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