Machine Learning Engineer

• Design, train, and deploy machine learning models for production use cases.
• Develop data pipelines for preprocessing, feature engineering, and model serving.
• Implement MLOps best practices: CI/CD for ML, monitoring, retraining workflows, and model lifecycle management.
• Build and validate ML Proof of Concepts (POCs) for new business opportunities.
• Optimize models for performance, scalability, and efficiency (latency, memory, throughput).
• Collaborate with data engineers, DevOps, and product teams to ensure seamless integration of ML systems.
• Stay up to date with new ML/AI research and tools to bring innovation into projects.

Machine Learning Engineer

Senior Machine Learning Engineer

AWS Machine Learning Engineer - Pipeline

AWS Machine Learning Engineer

Azure Machine Learning Engineer

Machine Learning Engineer