AI Governance Consultant

2 semanas atrás

Amadora, Lisboa, Portugal Siemens Energy Tempo inteiro

AI Governance Consultant

About the Role

Location: Portugal (Lisbon, Amadora) Remote vs. Office Hybrid (Remote/Office)
Company: Siemens Energy Unipessoal Lda.
Organization: EVP Global Functions
Business Unit: Enterprise Data & Advanced Analytics
Full / Part time: Full-time
Experience Level: Experienced Professional
A Snapshot of Your Day
Are you intrigued by AI and its ethical considerations? Do you aspire to contribute to impactful projects that mold the future of AI governance? If yes, we present you an engaging opportunity.
How You'll Make an Impact
  • Conduct research and analysis on various aspects of AI governance including fairness, accountability, transparency, privacy, and human rights.
  • Develop and implement data-driven solutions and tools to tackle AI governance challenges and opportunities.
  • Collaborate with stakeholders from diverse sectors and backgrounds (government, industry, academia, civil society) to promote dialogue and alignment on AI governance matters and best practices.
  • Contribute to the crafting and distribution 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 related field, with specialization in AI or machine learning.
  • Minimum three years of relevant experience in data science, AI, or machine learning, preferably in an applied or policy-driven environment.
  • Solid comprehension of AI governance principles, concepts, and methods, and their usage and consequences across diverse domains and contexts.
  • Proficiency in programming languages and tools for data analysis and AI like Python, R, SQL, TensorFlow, PyTorch, etc.
  • Expertise in data collection, cleaning, processing, visualization, and modeling utilizing varied sources and types of data (structured, unstructured, text, image, audio, video, etc.).
  • Experience in developing and assessing AI systems and solutions employing diverse techniques and metrics encompassing supervised, unsupervised, reinforcement learning, classification, regression, clustering, natural language processing, computer vision, etc.

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