Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. Role Purpose Drive technical excellence and customer engagement for NTT Data's AI Factories initiative by developing innovative AI solutions, maintaining the Munich demonstrator lab, supporting pre-sales activities, and creating thought leadership content. This role bridges the gap between AI/ML capabilities and business value, ensuring NTT Data showcases world-class AI implementations to win 2.2B in European market opportunities. Strategic Context This position is critical for demonstrating NTT Data's AI capabilities to EuroHPC evaluators and enterprise customers. The role directly supports the Munich AI Experience Centre (3.5M investment) and enables customer proof-of-concepts that convert to 35M deals. Core Responsibilities 1. AI Experience Centre Operations (30%) Lab Infrastructure Management Maintain and optimize the Munich AI Factory lab environment: NVIDIA H200 GPUs 16x AMD MI300X GPUs Kubernetes orchestration with multi-tenant isolation MLOps pipeline with MLflow, Kubeflow, Ray 2 PB storage with parallel filesystem Ensure 99.9% lab availability for customer demonstrations Implement automated provisioning for rapid PoC deployment Manage software stack updates (PyTorch, TensorFlow, JAX) Platform Excellence Deploy and maintain AI platforms: NVIDIA AI Enterprise suite Mistral AI European LLM integration Container orchestration with GPU operators Multi-cloud management capabilities Optimize resource utilization across workloads Implement cost tracking and chargeback mechanisms Maintain security compliance (GDPR, ISO 27001) 2. Use Case Development & Innovation (25%) Industry Solution Development Create reusable AI solutions by vertical: Financial Services Fraud detection systems (real-time inference <10ms) Risk modeling with explainable AI Regulatory compliance automation (MiFID II, Basel III) Synthetic data generation for testing Manufacturing Predictive maintenance with IoT integration Quality inspection using computer vision Digital twin simulations Supply chain optimization Healthcare Medical imaging analysis (DICOM integration) Drug discovery acceleration Patient outcome prediction Privacy-preserving federated learning Public Sector Climate modeling and simulation Smart city applications Document intelligence for government Citizen service automation Technical Innovation Develop cutting-edge demonstrations: Large Language Model fine-tuning (7B-70B parameters) Multi-modal AI (vision language) Reinforcement learning for optimization Edge-to-cloud AI deployment Create benchmarking frameworks Implement MLOps best practices Build reusable solution accelerators 3. Pre-Sales Technical Support (20%) Customer Demonstrations Execute compelling AI demonstrations: Live model training on customer data Performance benchmarking (MLPerf results) Scaling demonstrations (1 to 100 GPUs) ROI calculations and business case Customize demos for specific industries Handle technical Q&A during presentations Troubleshoot issues in real-time Proof of Concept Delivery Design and execute customer PoCs: 2-4 week sprint engagements Success criteria definition Performance validation Knowledge transfer to customer teams Document results and recommendations Support proposal development with technical content Provide effort estimates for implementations 4. Thought Leadership & Content Creation (15%) Technical Content Development Produce high-quality technical content: Whitepapers on AI implementation strategies Solution briefs for industry use cases Technical blogs and articles Reference architecture documentation Create customer-facing materials: Demo scripts and videos Workshop materials Training content Best practice guides Market Positioning Contribute to NTT Data's AI thought leadership: Conference presentations Webinar delivery Industry analyst briefings Open-source contributions Collaborate with marketing on campaigns Support PR initiatives with technical expertise Engage with AI community and forums 5. Technical Operations Excellence (10%) Infrastructure Automation Implement Infrastructure as Code: Terraform for resource provisioning Ansible for configuration management GitOps for deployment automation Helm charts for application packaging Design CI/CD pipelines: Automated model training workflows A/B testing frameworks Continuous monitoring and alerting Automated rollback mechanisms Monitoring & Optimization Deploy comprehensive monitoring: Model performance metrics Infrastructure utilization Cost optimization tracking Security compliance monitoring Implement observability stack: Prometheus Grafana dashboards ELK stack for log analysis Distributed tracing Custom alerting rules Required Qualifications Education Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field AI/ML certifications highly valued Technical Skills Core AI/ML Expertise Deep learning frameworks: PyTorch, TensorFlow, JAX ML platforms: MLflow, Kubeflow, Ray, Weights & Biases Model optimization: Quantization, pruning, distillation Distributed training: Horovod, DeepSpeed, FairScale Infrastructure & DevOps Container orchestration: Kubernetes, Docker, Singularity GPU management: NVIDIA DCGM, GPU Operator Cloud platforms: Experience with sovereign European clouds preferred Automation: Python, Bash, Terraform, Ansible Data Engineering Big data tools: Spark, Dask, Rapids Feature stores: Feast, Tecton Data versioning: DVC, Pachyderm Streaming: Kafka, Pulsar Experience Requirements 3-5 years in ML engineering, MLOps, or AI solution development Proven track record of production ML deployments Experience with GPU-accelerated computing Customer-facing technical presentation experience European market knowledge preferred Preferred Qualifications Certifications NVIDIA DLI certifications Cloud ML certifications (AWS, Azure, GCP) Kubernetes certifications (CKA, CKAD) European data privacy certifications Domain Expertise Experience with European AI regulations (EU AI Act) Knowledge of EuroHPC ecosystem Familiarity with sovereign cloud requirements Industry-specific AI applications Soft Skills Excellent presentation and communication abilities Strong problem-solving and debugging skills Ability to translate technical concepts to business value Collaborative mindset for cross-functional teams Entrepreneurial spirit and innovation drive Success Metrics Technical Excellence 95% lab uptime and availability 50 use cases developed annually 90% PoC success rate <24 hour turnaround for demo requests Business Impact Support 100M pipeline through demonstrations 80% PoC-to-deal conversion rate 10 whitepapers published annually 5 conference presentations per year Innovation Metrics 3 new solution accelerators quarterly 20 reusable demonstrations maintained 100 lab tours conducted annually 5-star customer feedback rating What Makes This Role Unique This isn't a typical MLOps role focused on production stability. This is about being the technical face of NTT Data's AI Factories initiative, where you'll: Shape the Market : Your demonstrations will directly influence 50M procurement decisions Work with Cutting-Edge Tech : Access to the latest GPUs (H200, MI300X, B300) before general availability Drive Innovation : Freedom to experiment with emerging AI technologies and approaches Impact at Scale : Your work will enable thousands of European organizations to adopt AI Build the Future : Help establish Europe's sovereign AI infrastructure Workplace type : Remote Working About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. 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