AI-Universe.global
by Allin1.global


Our services will
preferably start in Switzerland
as soon as we have found
the RIGHT people
with the RIGHT skills
and the RIGHT commitment.
Over time, we want to serve
about 250 countries and regions.
Due to differences in laws,
purchasing power, etc.
we will work with subdomains
such as ch.AI-Company.global etc.

4 Co-Founders
For Each Future Company

As a future (co-)founder
aiming to shape the future
of automation with AI and robotics,
I'm looking for AI experts
who not only possess technical skill
but also the pioneering spirit
to break new ground.
My goal is to build teams
capable of developing highly complex
AI systems that can
largely autonomously manage
the operations of
my/ our companies.
What the Desired AI Experts Would Need to Fulfill
The ideal candidates are more than just programmers or data scientists. They are visionaries with a hands-on mentality who are willing to push the boundaries of what's possible. Here are the key qualifications I'm looking for:
Profound Technical Knowledge: Excellence in machine learning, deep learning, reinforcement learning, computer vision, natural language processing (NLP), and robotics.
Innovation Capability: The ability to develop new approaches and find creative solutions for complex problems, especially when standard solutions are insufficient.
Practical Experience: Not just academic knowledge, but also demonstrable experience in implementing AI systems in real-world applications. This means bringing models from conception to production.
Systems Thinking: The ability to design end-to-end solutions that seamlessly integrate AI models into existing (or new) infrastructures. This also includes an understanding of scalability and maintainability.
Problem-Solving Orientation: A pragmatic approach to challenges and the ability to make effective decisions under pressure.
Communication Skills: The ability to clearly and understandably communicate complex technical concepts to non-technical stakeholders.
Team Player: I'm looking for individuals who thrive in dynamic environments and are willing to share knowledge and learn from each other.
From Which Disciplines They Would Come
To build a truly powerful AI team, I need a mix of different disciplines. The breadth of knowledge is crucial for tackling the diverse challenges that automation brings:
Computer Science / Artificial Intelligence: This is the core competency. Experts specializing in Machine Learning, Deep Learning, Computer Vision, NLP, and Reinforcement Learning.
Robotics / Mechatronics: For physical implementation and interaction with the real world, engineers with expertise in robotics kinematics, sensor technology, actuators, and control systems are indispensable.
Data Science / Statistics: To understand the vast amounts of data that AI systems need and generate, data scientists with strong statistical knowledge and experience in Big Data technologies are necessary.
Software Engineering: To develop robust, scalable, and maintainable AI applications, I need experienced software engineers who know and can apply best practices in software development.
Cognitive Science / Psychology: For the development of user-friendly and intuitive AI systems, especially in the field of human-robot interaction or for empathetic AI systems, an understanding of cognition and human behavior can be of great advantage.
Mathematics / Applied Mathematics: For the development and optimization of algorithms, as well as for a deep understanding of the theoretical foundations of AI models.
Job Descriptions for Individual AI Positions
Here are some key positions I aim to fill:
1. Principal AI Architect
Role: You are the strategic mind behind our AI systems. You design the overall architecture of our autonomous solutions, ensuring that all components work together seamlessly and achieve our long-term automation goals.
Required Skills & Experience:
Proven Experience: At least 10 years of experience in designing and implementing complex, scalable AI systems in production environments.
Architecture Expertise: Deep understanding of microservices, cloud architectures (AWS, Azure, GCP), data pipelines, and MLOps.
Broad AI Knowledge: Profound knowledge in various AI fields (ML, DL, NLP, CV, RL) and the ability to select the best approaches for specific problems.
Strategic Thinking: Ability to define technical roadmaps and make decisions that impact long-term scalability and maintainability.
Leadership: Experience in technical leadership of teams and mentoring junior engineers.
Challenges:
Designing and implementing end-to-end architectures for fully autonomous operations.
Ensuring the scalability, reliability, and security of our AI infrastructure.
Evaluating and integrating new AI technologies and frameworks.
Bridging the gap between various technical teams (ML Engineering, Robotics, Software Development).
2. Senior Machine Learning Engineer
Role: You are the expert in developing, implementing, and optimizing machine learning models. Your task is to bring cutting-edge AI algorithms from research to production readiness, driving our automation solutions.
Required Skills & Experience:
ML Expertise: At least 5 years of experience in developing and deploying ML models (Scikit-learn, TensorFlow, PyTorch).
Programming: Excellent Python skills; experience with other languages like C++ or Java is a plus.
Data Processing: Experience with large datasets and data pipelines (SQL, NoSQL, Spark, Kafka).
Model Optimization: Knowledge of hyperparameter tuning, model validation, and deployment strategies.
MLOps Fundamentals: Understanding of Continuous Integration/Deployment (CI/CD) in the context of ML.
Challenges:
Developing and optimizing customized ML models for specific automation tasks (e.g., predictive maintenance, supply chain optimization).
Deploying models in production environments and monitoring their performance.
Working with unstructured data and complex datasets.
Ensuring the robustness and interpretability of the developed models.
3. Robotics Software Engineer
Role: You are the specialist for the interface between software and hardware. Your expertise enables our robots to intelligently interact with their environment, perform tasks autonomously, and adapt to new circumstances.
Required Skills & Experience:
Robotics Frameworks: Extensive experience with ROS (Robot Operating System) and/or other common robotics frameworks.
Programming: Excellent C++ and Python skills.
Sensors & Actuators: Experience with the integration and processing of sensor data (LIDAR, cameras, IMUs) and the control of actuators.
Motion Planning: Knowledge of kinematics, trajectory planning, and collision avoidance.
Computer Vision (optional but highly desirable): Experience with image processing for robotic applications.
Challenges:
Developing software for autonomous mobile robots and manipulators.
Integrating AI models for perception, navigation, and manipulation.
Optimizing real-time performance and ensuring the safety of robotic systems.
Troubleshooting and debugging complex hardware and software interactions.
4. AI Research Scientist
Role: You are our thought leader, tracking the latest research findings in the field of AI and translating them into innovative solutions for our companies. You experiment with new algorithms and techniques to give us a competitive edge.
Required Skills & Experience:
Academic Background: PhD in AI, Computer Science, Mathematics, or a related field.
Research Experience: Proven publications in reputable AI conferences (NeurIPS, ICML, ICLR, AAAI, CVPR, ACL).
Broad Knowledge: Deep understanding of advanced AI concepts such as Reinforcement Learning, Generative Models, Causality, or Multi-Agent Systems.
Programming: Solid programming skills in Python and common ML frameworks.
Prototyping: Ability to quickly develop and validate research prototypes.
Challenges:
Identifying promising research areas and their applicability to our business models.
Developing and evaluating novel AI algorithms and models.
Collaborating with ML engineers to transition research findings into production systems.
Building a research culture that fosters innovation and experimentation.
5. Data Scientist / ML Operations Engineer (MLOps Engineer)
Role: You are the bridge between data, models, and production. As a Data Scientist, you analyze data to gain insights that drive our AI development. As an MLOps Engineer, you ensure that our AI models are efficiently developed, tested, deployed, and monitored.
Required Skills & Experience:
Data Analysis: Strong skills in statistical analysis, data visualization, and data cleaning.
SQL & Big Data: Experience with relational and non-relational databases as well as Big Data technologies (e.g., Spark, Hadoop).
MLOps Tools: Experience with tools like Kubeflow, MLflow, Airflow, Docker, Kubernetes.
Scripting: Solid Python and Bash scripting skills.
Cloud Knowledge: Experience with cloud platforms and their ML services.
Challenges:
Building and maintaining robust data pipelines for training and inference data.
Automating the entire lifecycle of ML models (training, validation, deployment, monitoring).
Ensuring data quality and model integrity.
Implementing monitoring systems to detect model drift and performance deviations.
If Yes, Contact Me
👉🏻 Do you speak English + Mandarin, Arabic, Russian,
French, Spanish, German, Italian or others?
👉🏻 Do you know the laws, rules, roots, rituals, traditions
of the countries/regions you are dealing with?
👉🏻 Do you really love the power of AI?
👉🏻 Do you know how to build,
automate, create, connect AI?
👉🏻 Are you an expert
in using for example
Google products
like Dart, Flutter,
Google Cloud, Gemini
Agentspace Enterprise,
Vertex AI Platform,
Vertex AI Studio,
Google AI Studio,
Firebase,
Firebase Studio
and many more,
see Google I/O 2025?
👉🏻 Are you really one of
the best at what you do?
👉🏻 Are you so good
that you would also bet
20K-50K CHF on yourself?
If you answered YES
to all my questions, please contact me
+41 76 501 12 07 (Armando.global)
🌏 I speak [Deutsch, English, Français, Italiano, Español]
Anyone who believes in us
‼️ can invest starting at CHF 100 ‼️

As soon as we
(4 co-founders + Armando.global)
are ready to start,
we’ll found a
Public Limited Company (Ltd.)
in Switzerland (min. CHF 100'000)
and then tokenize
about 50% of the shares,
so that anyone
who believes in us
can invest starting at CHF 100
-
Learn more about
"The Limited Company" in Switzerland
👉🏻 kmu.admin.ch
-
Learn more about
"The Power of Tokenized Equity"
-
We can
set up a company
in your country, if it offers
more advantages
-
Interested?
Contact me,
Armando.global
(WhatsApp Switzerland)
🌏 I speak [Deutsch, English, Français, Italiano, Español]
=
Find more
of my shares/ posts
about AI on Linkedin:
Remember
AI Education will determine
the future of humanity
So think carefully about what you
want to teach AI and robots
👉🏻 My opinion
Input data for AI should always be
of local, regional, national and international origin.
Only in this way can the output of the AI
do justice to the perception of others and oneself,
reflecting roots, rituals, culture, ethics,
beliefs and more truthfully.