Machine Learning Engineer

Seeking a skilled Machine Learning Engineer (MLOps) to support the full lifecycle of machine learning models, including design, development, deployment, and maintenance. This role focuses on building scalable, production-ready AI/ML solutions and ensuring seamless integration within existing systems. The ideal candidate will collaborate with cross-functional teams to deploy, monitor, and optimize machine learning models that drive operational efficiency and innovation.

• Design, build, deploy, and maintain machine learning models in production environments
• Develop and manage end-to-end MLOps pipelines, including model versioning, monitoring, and automation
• Implement scalable ML infrastructure using cloud platforms (AWS, Azure, or GCP)
• Build and optimize CI/CD pipelines for automated testing and deployment of ML models
• Collaborate with data scientists, data engineers, and DevOps teams to operationalize AI solutions
• Monitor model performance, system health, and data drift; implement logging and alerting solutions
• Ensure reliability, scalability, and performance of ML systems in real-time inference environments
• Maintain version control for models and code to support reproducibility and collaboration
• Apply best practices for testing, debugging, and performance optimization
• Ensure compliance with data security, privacy, and regulatory standards
• Create and maintain technical documentation for ML systems and processes