Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Tutzing
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du KI- und ML-Lösungen zur Optimierung von Datenintegrationen, implementierst skalierbare Microservices, erstellst APIs und automatisierst Datenpipelines zur Echtzeitverarbeitung in der Lieferkette.
Job Technologien
Deine Rolle im Team
- This is a vacancy for a hybrid or on-site role at our HQ in Tutzing (South of Munich) or Amsterdam.
- As we continue to expand and evolve our Supply-Chain-focused Data Integration Platform, we're looking for a Senior Machine Learning / Artificial Intelligence Engineer (m/f/x) to join our Product & Engineering team.
- In this role, you will help design and implement AI/ML & GenAI solutions that enhance our data integration offerings and push our platform capabilities forward.
- Our mission is to connect people, data and intelligence (human & artificial) to optimise processes across the supply chain, always choosing the right tool for the right challenge.
- Developing Pathfinder, a multi-agent AI system built on protocol-driven, microservice-oriented architecture - where specialised agents are dynamically orchestrated to assist users in navigating the complexities of data integration, automating routine tasks and proactively solving problems to make them significantly more productive.
- Defining and implementing scalable microservices that drive data mapping, transformation, and intelligent integration.
- Developing and maintaining RESTful and/or GraphQL APIs to ensure seamless communication between services and systems.
- Creating and optimising event-driven data pipelines to enable real-time processing, automation, and decision-making across our products.
- Evaluating, selecting, and implementing the best-fit tools and technologies to solve complex engineering and data challenges effectively.
- Collaborating directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability.
Unsere Erwartungen an dich
Qualifikationen
- Strong skills in Python development, including building microservices and working with event-driven architectures.
- Proficiency in designing and consuming RESTful or GraphQL APIs.
- Strong communication skills in English.
Erfahrung
- 5+ years of engineering experience focused on Machine Learning, AI, and Data Science/Data Engineering.
- Hands-on production GenAI experience with LLMs, NLP, and agentic AI - including multi-agent orchestration, tool integration via MCP, and inter-agent communication patterns such as A2A.
- Hands-on production ML/AI experience with PyTorch and MLOps frameworks.
- Experience with AWS or Azure ML services (e.g., SageMaker, Bedrock, Azure ML) and cloud-native development.
- Experience with CI/CD (GitHub Enterprise) and Infrastructure-as-Code (Terraform, Pulumi).
Unser Angebot
- Opportunity to work flexibly from home.
- Modern offices in Germany and the Netherlands.
- A personal Learning & Development budget.
- Up to 30 days of remote work per year from any EU country.
- Company Pension plan.
- 30 vacation days a year.
- 2 additional paid days off on Christmas Eve and New Year's Eve.
- Location-specific benefits packages (your recruiter will be happy to provide more details during your first chat).
- Company-sponsored business travel.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Lobster DATA GmbH
Die Lobster DATA GmbH, ansässig in Tutzing, Deutschland, hat sich auf die Entwicklung von No-Code-Softwarelösungen spezialisiert. Das Unternehmen bietet eine umfassende Data Platform, die Organisationen bei der effizienten Integration und Automatisierung von Daten unterstützt. Mit einem besonderen Augenmerk auf EDI-Standards und APIs bedient die Lobster DATA GmbH verschiedene Branchen wie Logistik, Fertigung und Handel.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior Machine Learning Engineer
- Ort
- Tutzing
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
