Machine Learning Engineer
Core
Building production-grade machine learning models and data-driven products by identifying algorithms, performing feature engineering, and optimizing deep learning solutions.
Role type
Senior Machine Learning Engineer (ML Lead)
Builds
Production ML models, forecasting systems, and anomaly detection solutions
Domain
Machine Learning / Deep Learning / MLOps
Deliverable
production ML models
Required skills
Python, machine learning algorithms, deep learning concepts, feature engineering, hyperparameter tuning, statistical analysis, A/B testing, cloud platforms (Azure/AWS/GCP)
Preferred skills
Model deployment to production, MLOps lifecycle management
Technologies
Python, Azure, AWS, GCP
Responsibilities
Develop, train, and optimize ML models; perform feature engineering and model selection; work with MLOps tools for deployment and monitoring; conduct statistical analysis and anomaly detection.
Seniority
Senior, hands-on IC
