Odiin.AI ยท 17 hours ago
ML Operations Engineer
New York, United States
Contract
Onsite
Mid LevelOdiin.AI is seeking an ML Operations Engineer (MLOps) to build and maintain the infrastructure that enables reliable training, deployment, and monitoring of machine learning models at scale. The role involves designing and managing ML pipelines, building CI/CD workflows, and collaborating with AI engineers and data teams to operationalize models.
Staffing & Recruiting
Responsibilities
Design and manage ML pipelines for training, testing, and deployment
Build CI/CD workflows for machine learning models
Deploy and monitor models in production environments
Ensure model reliability, scalability, and performance
Implement monitoring, logging, and alerting for ML systems
Collaborate with AI engineers and data teams to operationalise models
Qualification
Required
Strong experience with cloud platforms (AWS, GCP, or Azure)
Proficiency in Python and ML tooling
Experience with containerisation (Docker) and orchestration (Kubernetes)
Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, or similar)
Understanding of model lifecycle management and deployment best practices
Company
Odiin.AI
Odiin is a global leader in the technical staffing industry, specializing in AI and emerging technologies.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase