Specialist, Machine Learning Engineer

Primary Responsibilities Find and Mitigate Risks in AI Projects. Take an analytical approach to assess AI systems for potential risks and impacts and prevent harm to people, patients and society. Be a responsible AI consultant.

Work with business and technical stakeholders to understand business needs and recommend appropriate mitigations and guardrails for responsible AI design. Test and evaluate cutting edge AI.

Support testing and evaluation of AI models, agents and systems for performance, safety, security and explainability (XAI), including both quantitative methods and qualitative assessments. Support development and implementation of policy processes and further the field of AI ethics.

Be involved with building a safe, responsible, and ethical AI ecosystem in the organization and external industry, with opportunities to support community engagement and training initiatives. Research and stay on top of AI developments, best practices, and regulatory changes.

Experience opportunities to develop guidance and contribute to external initiatives. If you would describe yourself as: Self-motivated and driven to learn new topics and develop your domain expertise; Finds excitement in working at the bleeding edge in an emerging field.

Passionate about building a fairer and more inclusive AI ecosystem with respect for all; Has a keen interest in AI ethics, responsible AI, including policy, legal or regulatory landscape for emerging technologies, data privacy, or intellectual property.

Enjoys working in a diverse and cross-functional team; Has good communication and interpersonal skills. Education Qualification: Bachelor’s or Master’s Degree in any Field.

Experience and Skills: Experience in AI ethics and responsible AI, with in-depth knowledge of AI, ML, Generative AI , agentic systems and the emerging technology landscape. Experience in trust and safety, risk management, governance or related.

Ability to communicate and express technical viewpoints to senior stakeholder