UP
Full time
🤖 AI / ML
AI/ML Engineer - MLOps (Marketing ML Engineer) at UPS
Listed by DevShelfHub
India
Hybrid
Senior · 5–9 yrs
About the Role
Global logistics companies are operationalizing machine learning at enterprise scale to power personalization, targeting, and revenue optimization. UPS is hiring an AI/ML Engineer - MLOps for its Digital MARTEC team to deploy and manage production-ready marketing ML models on the Global Customer Platform.
What you'll do
- Deploy ML models into the Global Customer Platform
- Ensure low-latency inference for real-time decisioning
- Enable scalable batch scoring pipelines
- Build automated training and retraining workflows
- Develop CI/CD pipelines for ML lifecycle management
- Monitor model performance and detect/mitigate data and concept drift
- Track prediction accuracy, stability, and bias metrics
- Design and maintain feature stores with training/inference consistency
- Optimize data pipelines for reliability and scalability
- Collaborate with data engineering teams on data schema and quality controls
What we're looking for
- 5–10+ years in data engineering, ML engineering, or MLOps roles
- Strong experience deploying ML models into production environments
- Proficiency in Python and ML frameworks (Scikit-learn, XGBoost, TensorFlow, PyTorch)
- Experience with orchestration tools (Airflow, Kubeflow, or similar)
Skills & Technologies
Required
5–10+ years in data engineering, ML engineering, or MLOps roles
Strong experience deploying ML models into production environments
Proficiency in Python and ML frameworks (Scikit-learn, XGBoost, TensorFlow, PyTorch)
Experience with orchestration tools (Airflow, Kubeflow, or similar)
Familiarity with containerization and deployment (Docker, Kubernetes)
Experience with cloud platforms (Azure, AWS, or GCP)
Strong understanding of feature stores and model lifecycle management
Knowledge of monitoring tools for drift detection and model performance
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This MLOps role bridges Data Science and Engineering, operationalizing marketing ML models including Propensity to Buy, Churn Prediction, and Customer Lifetime Value on the Global Customer Platform.
- Deploy production-ready marketing ML models: PTB, Churn Prediction, CLV
- Build automated training and inference pipelines with CI/CD
- Develop real-time or batch scoring workflows with low-latency inference
- Design and maintain feature store infrastructure for governed features
- Implement model monitoring and drift detection systems
- Eliminate manual scoring through automation
- Optimize data pipelines for reliability and scalability
- Collaborate with data engineering on schema and quality controls
- Support personalization, targeting, retention, and revenue optimization
- Exposure to CDP integrations and real-time personalization systems
- Fortune Global 500 organization with rewarding culture
About UPS
UPS Technology's Machine Learning Engineering teams build next-generation intelligent systems powering the Smart Logistics Network, optimizing UPS Airlines, and enhancing Global Transportation Operations. UPS moves up to 38 million packages a day, building scalable, production-grade ML solutions with measurable enterprise impact.
- Industry
- Technology
- Company Size
- 500+
- Website
- ups.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 5–9 years
- Location
- India
- Work Mode
- Hybrid
- Category
- AI / ML
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