Machine Learning Engineer
Core
Implement, evolve, and maintain cloud-based machine learning infrastructure to ensure AI models are updated, scalable, and high-performance.
Role type
Machine Learning Infrastructure Engineer
Builds
Scalable ML pipelines and automated model training solutions
Domain
Cloud infrastructure and machine learning
Deliverable
infrastructure
Required skills
Cloud ML infrastructure (AWS/GCP/Azure), Python, Terraform, Docker, Kubernetes, Model versioning, Experiment management
Preferred skills
Data pipelines, ML frameworks, Workflow orchestration, CI/CD for ML, Monitoring and automation
Technologies
AWS, Google Cloud, Azure, Python, Terraform, Docker, Kubernetes
Responsibilities
Develop and optimize scalable ML pipelines for performance and cost; Implement monitoring and automation for model training; Collaborate with data and dev teams to integrate ML models into products; Investigate and implement new ML technologies and best practices; Conduct production model performance analysis and identify improvement opportunities
Seniority
Mid-level, hands-on IC
