At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable d
AI & Data Science Consultant Du hast Lust, AI & Data Strategien und Use Cases zu entwickeln und umzusetzen, Geschäftsprozesse durch KI-basie
Konzipiert AIoT-Architekturen (Hardware, Connectivity, Cloud) für Industriekunden, definiert GenAI- und AI-Ops-Services und führt ein Entwicklerteam fachlich.
Umsetzung von individuellen Applikationen in interessanten und herausfordernden Kundenprojekten auf Basis von ASP.NET Code (Razor/Blazor) un
Our client is a leading supplier of software products in the field of eCustoms internationally.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Analysiert Logistikprozesse, setzt Digital Twins und ML-Lösungen beim Kunden um, leitet Projekte und integriert sie in SAP.
Verwaltungssprung is a Berlin-based GovTech company developing AI-powered software solutions to simplify and digitize administrative processes.
Deine Leidenschaft für die Frontend- und Backend Entwicklung kannst du in unseren spannenden und innovativen Projekten im AIoT (AI und IoT)
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
Als AI Engineer (w/d/m) schreibst du nicht nur Notebooks und Prompts, du baust produktive GenAI-Systeme: Agenten, RAG-Pipelines, LLM-getrieb
Anspruchsvolle Projekte mit LLMs, Agentic RAG und AI-Agent-Frameworks wie LangGraph oder OpenAI Agent SDK.
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
Entwicklung und Umsetzung einer unternehmensweiten KI-Strategie in direkter Berichtslinie zur Eigentümer - Geschäftsführung | Identifikation
As our first Senior Data Scientist, you’ll be a core part of building the intelligence behind Skalar.
Du entwickelst und steuerst unseren gesamten Recruiting-Prozess für vorwiegend technische Rollen, einschließlich der Identifikation und akti
Du entwickelst Software mit Angular, Spring Boot, Kubernetes – für klassische und AI-basierte Lösungen Du gestaltest mit unseren Kunden ansp
Batch Robotics is revolutionizing how robots operate in factories — not through rigid programming or teaching by human demonstration, but wi
Du leitest AI- und Machine-Learning-Projekte bei unseren Kunden Du übersetzt Business-Anforderungen in pragmatische technische Lösungen Du v
Baut als Founding Engineer die KI-gestützte Lernplattform mit, entwickelt LLM-Agenten und RAG-Pipelines und verantwortet die technische Architektur.
Design, Entwicklung und Optimierung von Machine-Learning- und Deep-Learning-Modellen Konzeption, Implementierung und Optimierung von NLP-Lös
Du entwickelst Individualsoftware für verschiedene Kunden und unterschiedlichste Use-Cases auf Basis von LLMs (z.
Don’t wait for change – drive it.
Steuert Projekte zur Entwicklung von KI-Software für Industriekunden, vermutlich von PoC bis zur Integration in Kundenprozesse.
As AI Architect / Machine Learning Engineer, you will drive the development and deployment of sophisticated AI systems that are revolutioniz
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Professional experience (minimum 3 years) as a Machine Learning, AI or Software Engineer focusing on data and ML systems. Experience with and, ideally, certified in major data and AI platforms (e.g., Snowflake, Databricks, Dataiku, IBM Watson). Familiarity with DataOps, DevOps, and MLOps best practices and topics such as Data Mesh, Data Lake/Warehouses, and Reliability Engineering.
Familiarity with data engineering, ML, and Generative AI models, frameworks & tools. Understanding and strong interest in the end-to-end life cycle of projects, code, model, and data pipelines, and working with various stakeholders. Technical, hands-on experience with at least some of the following: Programming languages Distributed systems (Hadoop, Spark) and data structures.
SQL and NoSQL databases. Cloud Services. REST API and microservices.
Docker and knowledge of Kubernetes. Agile development methods and CI/CD. Experience working in a client-facing or consulting role.
Fluency in German and English (written and spoken) Swiss passport or a valid EU/EFTA work permit.
A young and dynamic services company with an experienced, knowledgeable, and passionate team. An entrepreneurial environment and the chance to have a real impact on the company’s development and growth. Work on cutting-edge data, AI, and analytics topics that have a real impact across industries.
A culture that is both performance-oriented and customer-driven and at the same time team-oriented, friendly, and supportive, incl. regular knowledge-sharing sessions and team events A hybrid working model with flexibility as long as both client (of which most require onsite presence) and internal commitments (i.e., one team office day per week) are met.
At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable data and machine learning solutions. In doing so, our data and AI journeys and effective solution patterns enable our customers to operationalize, scale, and continuously deliver data and AI products beyond the pilot and prototype stages. These patterns and frameworks revolve not only around the latest technologies but also consider role, skills, and process adjustments.
We thereby: Help our customers realize the full potential of data and AI solutions, from use case identification, over data, and ML platform implementation to integration and testing operation of ML models, LLMs, and other GenAI solutions. Design, test, integrate and operate data, model and code pipelines, and end-to-end data/ML/LLM systems (DataOps, MLOps & DevOps). Enable technical and non-technical teams and individuals to leverage data science and management, data, ML, and reliability engineering in an end-to-end fashion.
Tasks Do you want to contribute to our dynamic and growing services company with your Machine Learning, AI, and Software Engineering knowledge? Do you want to act as a thought leader and trusted advisor in the field of AI Engineering? We are looking for an experienced and German-speaking AI & MLOps Engineering Consultant who will be involved in the whole lifecycle of projects, both internally and externally: Consulting, Engineering & Training : You perceive data, software, and machine learning engineering as key capabilities for mastering the challenges of our clients digital transformations, want to help them understand both their potential and their limitations, and deliver impactful, valuable services.
Requirement Analysis : You analyze customer requirements and identify and define best-fit solutions. Implementation of Data Pipelines, ML/LLM Integrations, Reliability Engineering & AI/ML Operationalization : You understand how to successfully deliver data and machine learning projects from the prototype or pilot phase into production, integrate and test software and models, and implement engineering best practices such as traceability, reliability, scalability, measurability, and automation within a demanding project and technology environment. Concept Development : You contribute to our solution blueprints and concepts (e.g., our ‘Digital Highway for Data & ML systems’).
Expertise & Thought Leadership : You strive to become an expert and a trusted advisor in the field of AI Engineering and MLOps Ownership, Communication, Knowledge Sharing & Teamwork: You take ownership of your work, present your results to various stakeholders, share your knowledge, and collaborate (pro-)actively with our and your client’s teams.
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