Specialist, Machine Learning Engineer

Merck Merck · Pharma · Singapore

This role focuses on ensuring AI projects at Merck are developed and deployed responsibly, with a strong emphasis on risk mitigation, ethical considerations, and rigorous testing and evaluation of AI models and systems. It involves consulting with stakeholders, developing policies, and staying abreast of regulatory changes within the healthcare domain.

What you'd actually do

  1. Find and Mitigate Risks in AI Projects.
  2. Be a responsible AI consultant.
  3. Test and evaluate cutting edge AI.
  4. Support development and implementation of policy processes and further the field of AI ethics.
  5. Research and stay on top of AI developments, best practices, and regulatory changes.

Skills

Required

  • Accountability
  • Artificial Intelligence (AI)
  • Artificial Intelligence Ethics
  • Business Management
  • Business Operations
  • Clinical Research
  • Computer Science
  • Data Engineering
  • Design Applications
  • Emerging Technologies
  • Explainable AI
  • Explainable AI (XAI)
  • Information Security
  • Machine Learning (ML)
  • Pharmaceutical Research
  • Python (Programming Language)
  • Responsible AI
  • Risk Management
  • Software Development
  • Software Development Life Cycle (SDLC)
  • Stakeholder Engagement
  • System Designs
  • System Integration
  • Testing

Nice to have

  • generative models / LLMs
  • synthetic data
  • SHAP
  • LIME
  • law
  • IP
  • policy
  • regulatory processes
  • industry standards in AI
  • pharmaceutical business areas

What the JD emphasized

  • potential risks and impacts
  • prevent harm to people, patients and society
  • mitigations and guardrails for responsible AI design
  • performance, safety, security and explainability (XAI)
  • building a safe, responsible, and ethical AI ecosystem
  • AI ethics, responsible AI
  • policy, legal or regulatory landscape
  • Hands-on code development experience in Data Science, Machine Learning, Generative AI and agentic systems
  • Knowledge of XAI (SHAP, LIME, etc.)
  • Knowledge of law, IP, policy, regulatory processes, or industry standards in AI or related fields

Other signals

  • AI risk assessment
  • responsible AI consulting
  • AI model testing and evaluation
  • AI ethics and policy development