AI Governance Strategist
Há 1 mês
We are seeking an experienced AI Governance Consultant to join our team. As a key member of the Advanced Analytics & AI enterprise team, you will play a crucial role in developing new methodologies and tools to enable data-driven decision-making across the value chain, improving sustainability, reliability, and affordability of our energy solutions.
Key Responsibilities:
- Conduct research and analysis on various aspects of AI governance, such as fairness, accountability, transparency, privacy, and human rights, to inform the development of AI governance frameworks, standards, and guidelines.
- Develop and implement data-driven solutions and tools to address AI governance challenges and opportunities, leveraging expertise in AI, machine learning, and data science.
- Collaborate with stakeholders from different sectors and backgrounds to foster dialogue and alignment on AI governance issues and best practices, promoting a culture of transparency and accountability.
- Contribute to the development and dissemination of AI governance frameworks, standards, and guidelines that align with industry-leading best practices and regulatory requirements.
Requirements:
- Master's degree or PhD in computer science, statistics, engineering, or a related field, with a focus on AI or machine learning.
- At least three years of relevant experience in data science, AI, or machine learning, preferably in an applied or policy-oriented setting.
- Strong understanding of AI governance principles, concepts, and methods, and their applications and implications across different domains and contexts.
- Proficiency in programming languages and tools for data analysis and AI, such as Python, R, SQL, TensorFlow, PyTorch, etc.
- Experience in data collection, cleaning, processing, visualization, and modeling, using various sources and types of data, such as structured, unstructured, text, image, audio, video, etc.
- Experience in developing and evaluating AI systems and solutions, using various techniques and metrics, such as supervised, unsupervised, and reinforcement learning, classification, regression, clustering, natural language processing, computer vision, etc.
About Siemens Energy:
Siemens Energy is a leading energy technology company that meets the growing energy demand across 90+ countries while ensuring our climate is protected. With over 92,000 dedicated employees, we generate electricity for over 16% of the global community and use our technology to help protect people and the environment. We celebrate character and diversity, and our combined creative energy is fueled by over 130 nationalities. We offer an attractive remuneration package, employer-financed company pension scheme, and the opportunity to become a Siemens Energy shareholder. We value equal opportunities and welcome applications from people with disabilities.
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