Build and maintain relationships with business stakeholders and frame business issues, value hypotheses and success metrics; translate initi
Job Title: AI Strategist (m/f/d) Location: Berlin, Germany Why this role matters Most enterprises know AI will redefine their sector, but la
Job Title: Junior Solution Engineer (m/f/d) Location: Munich, Germany Why this role matters GenAI is transforming the cybersecurity landscap
Was Du bei uns machst Projekte verantworten: Kundenprojekte im Mittelstand führen, vom Kick-off bis zur Übergabe in den Betrieb Bewerten: Pr
Who We Are BeNeering was founded in 2007 by experienced SAP solution architects who had spent years working inside global corporations.
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.
Entwickelt und betreibt Automations- und AI-Agent-Lösungen für digitale Prüfungen, integriert Plattformen und leitet das Projekt mit.
Berät die Geschäftsführung zu Gesellschaftsrecht und M&A, überwacht den EU AI Act und erstellt interne Richtlinien für Generative KI.
Act as the R&D domain expert and solution architect for Aily App modules: - Internally: Translate R&D routines into product requirements and
Define the enterprise AI & Automation strategy by evaluating business priorities, transformation opportunities and technology developments a
Integriert Deep-Learning-Modelle in DFT-Software, schreibt effiziente GPU-Implementierungen dafür und pflegt Open-Source-Releases.
Overview The mission of the team is to enable highly accurate and scalable predictions of the electronic structure of molecules and material
Du entwickelst in abwechslungsreichen Projekten Machine-Learning- und GenAI-Lösungen für unsere Kunden, von LLM-Anwendungen und RAG-Systemen bis zu KI-Agenten.
Du entwickelst in abwechslungsreichen Projekten Machine-Learning- und GenAI-Lösungen für unsere Kunden, von LLM-Anwendungen und RAG-Systemen bis zu KI-Agenten.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
As a Software Engineer, you develop MAIA further and help decide from the start how we solve problems.
As a Product Engineer, you own features from start to finish: from conversations with customers and concept work through to implementation a
As an AI Engineer, you develop MAIA further and help decide from the start how we solve problems.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
Verantwortet Features einer GenAI-Plattform von Kundengespräch bis Produktion, baut Agenten-Workflows und misst deren Wirkung mit Evals.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
Entwickelt die GenAI-Plattform MAIA weiter: Agentensysteme, RAG-Pipelines, Modellintegration und Evaluierung, vom Prototyp bis zur Produktion.
Konzeption und Umsetzung produktionsreifer GenAI- und Agentic-AI-Lösungen entlang des gesamten Entwicklungszyklus, von Architektur und Imple
Sie sind die technische Brücke zwischen Forschung, IT und KI-Technologie.
Wir verbinden Menschen, Orte und das Leben.
Du entwickelst mit Python innovative A I-Agenten - von der Konzeption geeigneter Use Cases über die Umsetzung und Integration bis zum produk
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Build and maintain relationships with business stakeholders and frame business issues, value hypotheses and success metrics; translate initial requirements into scalable MLOps solutions with clear roadmaps. - Drive MLOps projects from PoC to production by planning resources and timelines, defining scalable ML/AI architectures, and validating data and platform readiness with technical and business experts. - Provide project oversight by leading cross functional expert teams (e.g., Data Science, AI Engineering, Information Security) and by working closely with Consulting on large scale projects. Remove roadblocks, set success criteria, ensure adoption of standardized pipelines, monitor solution health (performance, reliability, cost efficiency), and guide teams toward operational excellence. - Promote Responsible AI and platform governance by ensuring compliance with security, privacy, and risk standards. Oversee documentation of evaluations, guardrails (e.g.
LLM safety patterns), CI/CD workflows, MLOps policies, and architecture decision records. - Contribute to the development and continuous improvement of internal MLOps frameworks and accelerators by structuring requirements, aligning stakeholders, and steering expert teams to create reusable delivery models, templates, and best practices. - Evolve the MLOps service offering and operating model by shaping strategic roadmaps, enhancing platform capabilities, and aligning with stakeholders across business, data, and technology to drive enterprise wide ML adoption. - Lead and develop a team of 5 - 7 MLOps engineers. Foster a strong team identity, guide career growth, provide coaching and continuous feedback, and perform fair and structured performance assessments. - Support the future growth of the organization by interviewing new candidates or by representing DHL Data & AI at events and conferences.
10+ years of experience in IT delivery or technology project/program management, including 5+ years leading complex, cross functional teams (data science, engineering, platform, business). - Proven experience delivering AI/ML enabled solutions or data platforms, acting as the bridge between business, data science, and engineering rather than as a hands on developer. - Strong ability to structure and steer MLOps initiatives: defining scope, milestones, governance, quality gates, and success metrics from PoC to scaled production. - You communicate complex technical concepts clearly and pragmatically, enabling alignment between technical experts and non technical stakeholders, including senior management and clients. - Strong stakeholder management skills: you build trust, manage expectations, resolve ambiguity, and consistently turn early ideas into structured, successful delivery programs. - A high level of results-orientation and personal drive; you take ownership naturally and are intrinsically motivated to shape the direction and culture of a fast-growing organization. - People centric leader and coach, focused on team development, motivation, and psychological safety, while maintaining a clear, outcome oriented delivery mindset. - Experience in making informed decisions on tooling, platforms, and operating models (cloud, CIplatform choices) in close collaboration with architects and engineers. - Comfortable working in enterprise environments, with an understanding of risk management, data protection, model governance, and AI responsibility. - Solid conceptual understanding of modern AI trends (incl. LLMs and GenAI) and their operational implications, enabling responsible adoption without needing hands on implementation expertise.
At DHL Data & AI, we offer an array of benefits designed to support your professional growth and personal well-being. Here is what you can expect when you join our team: - Comprehensive training programs, workshops, and e-learning resources to prioritize your growth and development. - A flexible work arrangement that combines office presence in Bonn and work from home, promoting work-life balance and adaptability. - A competitive salary package, inclusive of various attractive benefits, to ensure employee well-being and satisfaction. - Diverse commuting options, including a job ticket for public transportation, parking space for a monthly fee, or bicycle leasing, to suit your preference. - Access to DHL Group s daycare facilities for working parents. - A vibrant, inclusive, and cooperative international setting that inspires innovative thinking. If you have any questions, please reach out to us via: Ifyouare interested in this position, please click on Apply Now andsubmit your CV,all academicrecords,professionalreferences, desiredsalary, and your earliestpossible startdate.We kindly ask youto onlyapply for one position at a time!
We will reach out to you if we see a better match with another role in the team. You can find us here:LinkedIn DHL Data & AI CONNECTING PEOPLE. IMPROVING LIVES.
DHL Data & AI is a Global Business Service Line in DHL Group, focusing on leveraging data to create business value. We are a dynamic, innovative, and diverse team with approximately 100 talented professionals, including Data Engineers, Cloud Engineers, MLOps Engineers, DevOps Engineers, Data Scientists, and Architects. DHL Group is the leading mail and logistics service provider in the world.
As one of the planet’s largest employers operating in over 220 countries and territories, we see the world differently. Join our team as a Team Lead in MLOps to deliver AI solutions that create measurable business value. You own the lifecycle from discovery with stakeholders to scaled delivery, adoption, and continuous improvement while developing people and strengthening our standards for quality, safety, and impact.
Team Lead MLOps (D/F/M) Creating value at DHL Group through data and AI innovation! At DHL Data & AI, our primary objective is to design and deliver scalable AI solutions that create tangible business value across DHL Group. We work end-to-end, from small, fast Proof of Concepts that validate potential to fully deployed AI solutions built in close partnership with business and engineering teams.
To support this, we continuously optimize our data and AI platforms to ensure secure, cost-efficient, and reliable foundations for our solutions. Alongside this core focus, we also strengthen the organization through data governance, training, technology incubation, and community building. We are committed to scaling Data & AI capabilities sustainably and accelerating digitalization across DHL Group.
Join our growing team in Bonn as Team Lead MLOps (d/f/m) and shape the company further!
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