Ai jobs in United Arab Emirates

Nuremberg

Roboyo is a category shaper in Agentic Automation. We help leading brands embed autonomous, AI‑powered agents into their workflows, processes, products and services so they can scale faster and operate smarter.

Built on a strong automation heritage, we focus on seamless integration of AI into enterprise level organizations, not just proving concepts, but owning outcomes and driving value in every industry we are present.

At Roboyo, you’ll join a global team of builders, consultants and engineers that are top practitioners of taking solutions to the next level for clients in pursuit of excellence.

Job Title: AI & Process Mining Consultant/Engineer

About Roboyo & Role

Are you ready to be part of something extraordinary? We’re not just another tech or consulting company — we’re a powerhouse of innovation, energy, and ambition. Our mission? To revolutionize the way businesses work through AI, Agentic AI, intelligent automation, and digital transformation. And we’re doing it with the best team in the game.

We’re growing fast — and we’re just getting started.

We work with the world’s leading AI technologies — including OpenAI, Microsoft, UiPath, Celonis, Google, AWS, n8n, Parloa, Python, and more — to build high‑impact, value‑driven solutions that truly make a difference for our clients. From developing tailored AI strategies to implementing and operating scalable solutions, we deliver end‑to‑end support that drives real business transformation.

What awaits you

• Teamwork at eye level: You’ll collaborate with colleagues across all areas of the company, taking analytics, automation, and process mining to the next level together.
• Bridge builder: You translate IT language into business value and vice versa — becoming the gamechanger between worlds.
• Hands‑on with Celonis & Co.: From system integration to data modeling – you build end‑to‑end processes, develop analyses, and optimize every step of the journey.
• AI & Data Playground: Interested in machine learning, NLP, or time‑series forecasting? Jump right in.
• Your ideas matter: Bring your perspective, curiosity, and energy — we celebrate fresh thinking and unconventional solutions.

What you bring

• A completed degree (Business Administration, Business Informatics, Data Science, etc.) or comparable skills.
• You think analytically and enjoy solving business problems with technology.
• You’re familiar with Python as well as pandas, scikit‑learn and/or LLMs.
• ETL pipelines and agentic concepts are not new to you.
• Big data, data analytics, and process mining make your heart beat faster.
• You’re communicative, curious, and want to grow with others.
• German and English — at least C1 level.
• Ideally, you’re located near Munich or Nuremberg and willing to work onsite with your team two days a week.
• Nice to have: Experience with ERP systems (SAP, Dynamics, Oracle) and SQL skills.

What We Offer

• A team that’s not just good — we’re high‑performing. We support each other, celebrate together, and push boundaries.
• Culture of empowerment, ownership, and bold ideas.
• The chance to work with cutting‑edge AI technologies and strategic partners.
• Continuous and ever expanding learning, career development, and growth opportunities.
• A front‑row seat in a company with ambitious growth plans and a vision to lead the AI revolution.
• A place where you can be yourself, make an impact, and help us shape the future.

In addition to:

• 30 days of vacation, flexible & hybrid work setup, and great offices in the center of Munich or Nuremberg.
• Regular team events, Urban Sports Club or Sodexo benefits, JobRad, and company pension scheme.
• International projects, global mobility (work abroad temporarily!), and, if needed, relocation support.
• Growth, feedback, appreciation, and a team culture you won’t forget anytime soon.

Sounds like your kind of challenge? Then let’s shape the future together!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.