Logo of Huzzle

Find 28,000+ jobs, internships & events from 6,000+ top companies on Huzzle using AI

AI Governance Consultant

  • Job
    Full-time
    Mid Level
  • Data
    Research & Development
  • Berlin

AI generated summary

  • You need a master's/PhD in a relevant field, 3+ years in AI/data science, strong AI governance knowledge, programming skills, and experience in data handling and AI system development.
  • You will research AI governance, develop data-driven solutions, collaborate with diverse stakeholders, and help create frameworks and guidelines for best practices in AI governance.

Requirements

  • 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.

Responsibilities

  • 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.

FAQs

What are the primary responsibilities of an AI Governance Consultant?

The primary responsibilities include conducting research and analysis on AI governance aspects, developing data-driven solutions, collaborating with stakeholders from various sectors, and contributing to the development and dissemination of AI governance frameworks and guidelines.

What qualifications do I need to apply for 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, along with at least three years of relevant experience in data science, AI, or machine learning.

What programming languages and tools should I be proficient in for this position?

You should be proficient in programming languages and tools such as Python, R, SQL, TensorFlow, and PyTorch for data analysis and AI.

Is experience in AI governance necessary for this role?

Yes, a strong understanding of AI governance principles, concepts, and methods, as well as their applications across domains, is necessary for success in this role.

Will I be working alone or as part of a team?

You will be collaborating with a team and engaging with various stakeholders from government, industry, academia, and civil society.

What kind of projects will I be working on?

You will be working on challenging and impactful projects that aim to address AI governance issues and contribute to the shaping of best practices and frameworks.

What kind of tools and techniques will I be expected to use?

You will be expected to use various techniques and metrics for developing AI systems, including supervised, unsupervised, and reinforcement learning, as well as methods for data collection, cleaning, processing, and visualization.

How does Siemens Energy support employee development?

Siemens Energy offers individual development and training opportunities, ranging from job-specific skills to soft skills enhancement.

What is the work culture like at Siemens Energy?

The work culture at Siemens Energy is inclusive, valuing diversity and encouraging employees to be themselves while collaborating on innovative projects.

Are there benefits related to health and welfare?

Yes, Siemens Energy provides welfare programs and health insurance as part of their employee benefits.

We are 91,000 employees determined to be part of the world’s most valued energy technology company. We are #TeamPurple.

Energy
Industry
10,001+
Employees
2020
Founded Year

Mission & Purpose

Siemens Energy is one of the world’s leading energy technology companies. The company works with its customers and partners on energy systems for the future, thus supporting the transition to a more sustainable world. With its portfolio of products, solutions and services, Siemens Energy covers almost the entire energy value chain – from power generation and transmission to storage. The portfolio includes conventional and renewable energy technology, such as gas and steam turbines, hybrid power plants operated with hydrogen, and power generators and transformers. A majority stake in the wind power subsidiary Siemens Gamesa Renewable Energy (SGRE) makes Siemens Energy a global market leader for renewable energies. An estimated one-sixth of the electricity generated worldwide is based on technologies from Siemens Energy. Siemens Energy employs 94,000 people worldwide in more than 90 countries and generated revenue of around €29 billion in fiscal year 2022. Siemens Energy is a trademark licensed by Siemens AG