Engineering Manager - AI Services and Solutions
📋 Détails de l'offre
📖 Exigences
Expérience requise:
60 mois (5 ans)
60 mois (5 ans)
KPMG recherche un Engineering Manager pour ses solutions d'IA. Ce poste offre une occasion unique d'innover dans un environnement collaboratif.
Tâches
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Diriger la livraison technique des solutions d'IA robustes et évolutives.
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Encadrer les ingénieurs et définir les normes techniques.
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Promouvoir l'adoption de l'IA à travers des services réutilisables.
Compétences
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Diplôme en informatique ou domaine connexe avec 5 ans d'expérience en IA.
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Compétences solides en Python et frameworks ML comme TensorFlow.
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Expertise en services Azure AI/ML et GenAI.
The Engineering AI Team Lead owns the technical delivery of AI solutions, ensuring they are robust, scalable, and production-ready. This role blends leadership, hands-on engineering, and architectural oversight. You will mentor engineers and data scientists, set technical standards, and ensure that product requirements are translated into reliable solutions. Beyond delivery, you will help scale AI adoption across the firm by building engineering patterns, reusable services, and blueprints to drive adoption and scale AI across the firm.
Engineering Manager - AI Services and Solutions
Your contribution to KPMG
Engineering Coordination & Development
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Coordinate and develop within a high-performing team of AI engineers and data scientists.
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Foster a culture of inclusion, continuous learning, and technical excellence.
Technical Strategy & Execution
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Define the engineering approach and architecture for AI solutions and services.
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Evaluate and adopt the right tools and frameworks to meet product requirements.
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Ensure solutions are designed for scalability, security, and maintainability.
Project Delivery
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Translate product requirements into technical deliverables.
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Manage planning, resourcing, and execution of engineering work on Azure.
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Oversee delivery quality, risk management, and timelines.
Hands-On Engineering
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Contribute to architecture and code reviews, and resolve complex technical challenges.
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Build and optimize ML pipelines, reusable services, deployment workflows, and MLOps/DevOps automation.
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Stay up to date with ML, GenAI, and infrastructure best practices.
Governance & Best Practices
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Define coding standards, CI/CD pipelines, testing protocols, and documentation.
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Ensure compliance with privacy, security, and responsible AI guidelines.
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Promote operational reliability and maintainability.
Enablement & Adoption
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Develop engineering services, patterns, and blueprints to drive adoption and scale AI across the firm.
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Share technical knowledge through documentation, training, and community-building.
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Enable reusability and consistency of AI solutions across teams.
This is what makes you successful
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Bachelor's or Master's in Computer Science, Machine Learning, or related field.
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5+ years in AI/ML engineering, with 2+ years in a leadership role.
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Strong programming in Python and proficiency with ML frameworks (PyTorch, TensorFlow).
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Hands-on expertise in Azure AI/ML services (Azure ML, Azure DevOps, AKS).
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Practical experience with GenAI/LLMs (prompt engineering, RAG basics).
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Proven delivery across the full AI lifecycle: experimentation ? deployment ? monitoring.
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Strong communication and leadership skills in cross-functional environments.
Your benefits
Flexible Work:
We want to give you the support and flexibility to balance your career with life outside of work. You can benefit from hybrid working, flex time options, the opportunity to work from anywhere (for up to 10 working day per calendar year) and generous parental leave.
Our commitment:
Quality and integrity are key at KPMG to inspire confidence and drive change. We recognize our business's wider impact and commit to trustworthy services, with a focus on ESG (Environmental, Social, and Governance) matters for clients and employees.
Come as you are:
We're committed to an inclusive, diverse, and equitable workplace. Our Inclusion, Diversity and Equity (IDE) values are embedded in our policies and interactions. Join a culture that values uniqueness and diverse views. Connect with peers in communities like KNOW & KNOW Young, Pride, and Internationals at KPMG.
Unlock your potential:
We offer personalized training programs, a wide range of courses, and tailored career paths designed to help you reach your full potential. Our offer includes specialized courses, mentorship programs, upskilling trainings the People Manager Academy and much more.
Inspired to innovate:
As part of KPMG, you join other highly qualified and motivated professionals in an inspiring entrepreneurial environment. A clear mindset and strong opinions are not only encouraged at KPMG, but expected. When it comes to ideas, quality beats hierarchy.
Discover KPMG - Become part of our team
The AI CoE team is a cross-functional group dedicated to driving innovation, best practices, and scalable adoption of artificial intelligence across the organization. This team brings together experts in product management, engineering, data science, and business strategy to define the vision and roadmap for AI-powered solutions. The AI CoE ensures that AI initiatives deliver measurable business value, align with enterprise priorities, and adhere to responsible AI governance.
With 300 different auditing and advisory service opportunities, our people can choose the career path that suits them best. Through our competencies in business transformation as well as ESG consulting, we support our clients in today's biggest challenges. We are a purpose-led and values driven company where your insight can create opportunities for you and contribute to a better future. Do work that matters, supported by a community that values difference and cares about you. Gain learning that'll last you a lifetime and be recognized for the impact you make. Find opportunity everywhere with KPMG.
Do you have any questions?
Do you have any questions?
Christos Makridis
Experienced Hire Recruiter
+41 58 249 26 30
KPMG
8036 Zurich
Ce poste est a pourvoir rapidement. Candidatez sans tarder.
🏢 À propos de l'entreprise
Entreprise dans le secteur Conseil aux entreprises