AI ML Engineer

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

• 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)
• Use Case Development & Innovation (25%)
  
  

Industry Solution Development

Create reusable AI solutions by vertical:

Financial Services

Fraud detection systems (real-time inference

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
• 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
• 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
• 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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