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NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Requirements:
7+ years in software/data engineering
3+ years in building and deploying ML systems in production
Strong in Python (preferred) or Java/Scala
Experience with TensorFlow, PyTorch, or scikit-learn
Strong understanding of ML algorithms, feature engineering, and model evaluation
Experience with ML pipelines and model deployment
Hands-on with MLflow, Kubeflow, or SageMaker
Experience with AWS/Azure/GCP
Knowledge of Docker, Kubernetes, Terraform/Bicep
Experience with Spark/Flink, SQL/NoSQL databases, Kafka
Familiarity with monitoring, logging, and observability tools
Ability to explain ML concepts to both technical and business stakeholders
Nice to have:
Deep learning, NLP, recommender systems, or time-series forecasting
Feature stores (Feast, Tecton) and experimentation platforms
Model explainability tools (SHAP, LIME)
Experience in enterprise SaaS or large-scale data platforms