
11 - 50 employees
At Udacity Marketing, our team means everything to us. Therefore, we put considerable effort into providing a fun, competitive, yet inclusive, professional atmosphere in our business where optimal development and maximal results are visible. We want to create a workplace that is friendly, warm, and exciting so that our people feel like they are part of a team and consider it like they are part of one big family.We attract, employ, and develop ambitious and driven people who can meet our business objectives. We aim towards giving a long-term future for the business as a whole and the individuals involved in it.
🕒 February 18
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11 - 50 employees
At Udacity Marketing, our team means everything to us. Therefore, we put considerable effort into providing a fun, competitive, yet inclusive, professional atmosphere in our business where optimal development and maximal results are visible. We want to create a workplace that is friendly, warm, and exciting so that our people feel like they are part of a team and consider it like they are part of one big family.We attract, employ, and develop ambitious and driven people who can meet our business objectives. We aim towards giving a long-term future for the business as a whole and the individuals involved in it.
• Reinforce and expand on concepts covered in Udacity’s AI business leader programs. • Guide learners through Udacity course projects, providing structured, actionable advice. • Share practical industry experience on how AI is deployed, managed, and scaled within organizations. • Clarify complex AI concepts (e.g., generative models, agentic systems, RAG architectures, model evaluation, governance frameworks) in accessible, business-relevant terms. • Discuss how AI decisions are made inside organizations, including trade-offs, constraints, and implementation challenges. • Offer grounded perspective on where AI delivers meaningful value and where it is often misapplied. • Experience with facilitating structured group sessions for professional audiences is strongly preferred.
• 5+ years working in AI, Machine Learning, Data Science, or AI Product roles. • Direct experience deploying AI/ML systems in production environments. • Familiarity with generative AI (LLMs, RAG, tool use, evaluation) and/or agent-based systems. • Solid understanding of model evaluation and how data quality impacts outcomes. • Experience working with business stakeholders or senior leadership. • Ability to explain technical trade-offs clearly without oversimplifying. • Strong communication presence and ability to manage group discussions. • Nice to Have: • Experience leading AI initiatives inside an organization. • Exposure to vendor evaluation or build-vs-buy decisions. • A background that spans both technical and business responsibility. • Previous mentoring, coaching, or teaching experience.
• Gain recognition for your technical knowledge • Earn additional income • Contribute to a vibrant, global student community • Stay updated on the latest cutting-edge technologies
Apply Now🕒 January 15
AI Consultant responsible for performance marketing automation and AI solutions in a supplement company. Working as a freelancer in a growing team to enhance marketing processes.
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🕒 September 11, 2025
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