AI ML Engineer

Overview JOB DESCRIPTION

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