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- Aufgaben: Research and analyze AI governance issues like fairness and transparency.
- Arbeitgeber: Join Siemens Energy, a diverse team shaping sustainable energy solutions globally.
- Mitarbeitervorteile: Enjoy a collaborative environment with opportunities for remote work and personal growth.
- Warum dieser Job: Make a real impact on AI ethics while working with diverse stakeholders.
- Gewünschte Qualifikationen: Master's or PhD in a related field with 3+ years of relevant experience required.
- Andere Informationen: We celebrate diversity and welcome applications from all backgrounds.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Are you passionate about AI and its ethical implications? Do you want to work on challenging and impactful projects that shape the future of AI governance? If so, we have an exciting opportunity for you.
How You’ll Make an Impact
- Conduct research and analysis on various aspects of AI governance, such as fairness, accountability, transparency, privacy, and human rights.
- Develop and implement data-driven solutions and tools to address AI governance challenges and opportunities.
- Collaborate with stakeholders from different sectors and backgrounds, such as government, industry, academia, and civil society, to foster dialogue and alignment on AI governance issues and best practices.
- Contribute to the development and dissemination of AI governance frameworks, standards, and guidelines.
To be successful in this role, you should have
- A 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.
- A 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 the Team
Within the enterprise team for Advanced Analytics & AI, we develop new methodologies and tools to enable data-driven decision-making along the value chain improving sustainability, reliability, and affordability of our energy solutions across the globe.
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
We value equal opportunities and welcome applications from people with disabilities.
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AI Governance Consultant Arbeitgeber: Siemens Gas and Power GmbH & Co. KG
Kontaktperson:
Siemens Gas and Power GmbH & Co. KG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: AI Governance Consultant
✨Tip Number 1
Familiarize yourself with the latest trends and discussions in AI governance. Follow thought leaders on social media, read relevant articles, and engage in online forums to deepen your understanding of fairness, accountability, and transparency in AI.
✨Tip Number 2
Network with professionals in the field by attending conferences, webinars, or local meetups focused on AI and its ethical implications. Building relationships with stakeholders from various sectors can open doors to collaboration opportunities.
✨Tip Number 3
Showcase your technical skills by working on personal projects or contributing to open-source initiatives related to AI governance. This hands-on experience will not only enhance your resume but also demonstrate your commitment to the field.
✨Tip Number 4
Prepare for interviews by practicing how to articulate your understanding of AI governance principles and their real-world applications. Be ready to discuss specific examples of how you've tackled data-driven challenges in previous roles.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: AI Governance Consultant
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the AI Governance Consultant position. Understand the key responsibilities and required qualifications, and think about how your experience aligns with these.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in AI governance, data science, and machine learning. Provide specific examples of projects you've worked on that demonstrate your skills in fairness, accountability, and transparency in AI.
Showcase Technical Skills: Clearly list your proficiency in programming languages and tools relevant to AI and data analysis, such as Python, R, SQL, TensorFlow, and PyTorch. Mention any specific projects where you applied these skills.
Express Your Passion: In your application, convey your passion for AI and its ethical implications. Discuss why you are interested in AI governance and how you envision contributing to impactful projects in this field.
Wie du dich auf ein Vorstellungsgespräch bei Siemens Gas and Power GmbH & Co. KG vorbereitest
✨Show Your Passion for AI Governance
Make sure to express your enthusiasm for AI and its ethical implications during the interview. Share specific examples of projects or research you've been involved in that relate to AI governance, fairness, accountability, and transparency.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with programming languages and tools relevant to AI and data analysis, such as Python, R, SQL, TensorFlow, and PyTorch. Highlight any specific projects where you applied these skills to solve real-world problems.
✨Highlight Collaborative Experiences
Since the role involves working with diverse stakeholders, share examples of how you've successfully collaborated with individuals from different sectors, such as government, academia, or civil society. Emphasize your ability to foster dialogue and align on complex issues.
✨Understand AI Governance Principles
Prepare to discuss your understanding of AI governance principles and their applications across various domains. Be ready to provide insights into how these principles can be implemented in practice, and discuss any frameworks or guidelines you have contributed to.
