NTT DATA Services seeks a highly qualified Applied ML Engineer to build and deploy propensity, uplift, and engagement ML models for a real-time decisioning platform.
Requirements
- 8+ years of experience in Python, XGBoost/LightGBM, Databricks/Spark, MLflow, and feature stores.
- 5+ years of experience operationalizing ML in production with low-latency scoring.
- 5+ years of experience in using of GenAI tools (Cursor, Windsurf, Copilot) is required.
Responsibilities
- build and deploy propensity, uplift, and engagement ML models for a real-time decisioning platform
- Deliverables include production-ready models, training pipelines, monitoring, explainability artifacts, and integration support.
Other
- NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law.
- We are committed to creating a diverse and inclusive environment for all employees.
- If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
- Where required by law, NTT DATA provides a reasonable range of compensation for specific roles.
- This position is eligible for company benefits that will depend on the nature of the role offered.
