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Senior Responsible AI Scientist – AI Model Evaluation in Computer Vision

SpringCube

Full time - Manager

Artificial Intelligence AI

Singapore ( Hybrid )

Published 2 weeks ago

Salary: SGD10,000 - SGD15,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Senior Responsible AI Scientist – AI Model Evaluation in Computer Vision

Company Overview

This company is a leading AI assurance venture that specializes in providing services to validate AI systems for accuracy, robustness, explainability, fairness, privacy, and security. As AI adoption accelerates, this company is pioneering innovations to ensure safe and responsible deployment of AI, specifically in industries like law enforcement and healthcare.

Job Description

We are seeking a Senior Responsible AI Scientist to lead the evaluation and stress-testing of deep learning-based computer vision models. The role involves working closely with customers to evaluate AI models for safety and performance. This position requires extensive experience in developing comprehensive evaluation frameworks, as well as a deep understanding of the responsible use of AI technologies.

As the Senior Responsible AI Scientist, you will:

  • Develop and implement AI evaluation frameworks for computer vision models in sectors such as law enforcement and healthcare.
  • Evaluate the robustness, fairness, explainability, privacy, safety, and security of AI models using scientific and analytical methods.
  • Lead technical research and stay current with the latest advancements in computer vision and deep learning evaluation techniques.
  • Mentor junior team members and ensure the adoption of best practices in AI model evaluation.
  • Contribute to publications, conferences, and presentations related to model evaluation and AI performance.

Key Responsibilities

  • Create robust evaluation frameworks for assessing computer vision models (e.g., object detection, segmentation, image classification, pose estimation).
  • Develop automated pipelines for model evaluation.
  • Collaborate with product teams to ensure AI models align with business outcomes.
  • Lead or contribute to research papers and technical presentations.
  • Push the boundaries of traditional model evaluation by exploring methods like adversarial testing or synthetic data generation.

Qualifications

  • 6 to 10 years of experience as a data scientist specializing in computer vision models.
  • Strong expertise in training and deploying computer vision models with real-world business impact.
  • Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) and knowledge of computer vision architectures (e.g., ResNet, YOLO).
  • Strong coding skills in Python and experience in creating automated evaluation pipelines.
  • Familiarity with data augmentation, synthetic data generation, and adversarial testing techniques.
  • Experience with cloud platforms like AWS, GCP, and MLOps tools.

Nice to Have

  • Published research in computer vision.
  • Experience with explainability techniques (e.g., Grad-CAM, SHAP).
  • Familiarity with real-time deployment and edge computing environments.
  • Experience in healthcare or facial recognition systems.

Disclaimer: SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To apply, click the “Apply” button to be redirected to the hiring company’s application page for this job.
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