Sr Machine Learning Engineer

About the role

Productionize advanced statistical, Bayesian, and machine learning forecasting models, including training, validation, deployment, and lifecycle management.

What you'll do

• Build and optimize data pipelines, feature engineering workflows, and batch and real-time inference systems using large, complex datasets
• Develop robust MLOps capabilities, including model versioning, CI/CD, automated retraining, performance monitoring, drift detection, and rollback strategies

What you need

• 6–10 years in data science & ai
• Machine learning
• ETL
• MLOps
• Demand planning
• CI/CD
• Prototyping
• Any graduate

What you get