Myparadigm
Senior ML Ops Engineer
Irving, TX · Senior
Sponsorship not specifiedDetected 2 days ago
PythonDatabricksAzureDockerCI/CDDevOpsPlatform EngineeringMachine LearningData ScienceMLOpsMentoring
About the role
- Apply now at myparadigm.com/careers/ http://myparadigm.com/careers/
Responsibilities
- Develop and optimize automated ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to production environments.
- Implement and maintain model registries, experiment tracking, versioning, and governance practices to support consistent model lifecycle management.
- Build and support containerized ML workloads and deployment workflows using technologies such as Docker and Kubernetes.
- Implement and maintain IaC patterns using Terraform.
- Ability to independently solve complex technical challenges, make sound decisions with minimal guidance, and drive work to completion.
Requirements
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience.
- Experience in Python programming, ML Framework and Agentic AI.
Benefits
- Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning lifecycle, including model training, deployment, monitoring, and retraining.
- Deploy and support machine learning models and AI solutions in production, maintaining best practices for scalability, reliability, security, and operational excellence.
- Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring.
- Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency.
- 4+ years of professional experience in software engineering, machine learning engineering, MLOps, platform engineering, DevOps, or a related technical discipline.
- Strong understanding of the machine learning lifecycle, including model training, validation, deployment, monitoring, and retraining.
- Experience building and maintaining automated machine learning pipelines and CI/CD workflows.
- Experience with MLOps platforms and tools such as MLflow, Kubeflow, Azure Machine Learning, Databricks, or similar technologies.
- Experience working with cloud-based machine learning solutions, preferably within Azure.
Company info
- BLDR): a Fortune 300 company with over $23 billion in revenue and more than 29,000 employees across 550+ locations, BFS is redefining construction through data, digital infrastructure, and AI-powered innovation.
- Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe.
- We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries.
- We are building the future with modern software engineering, agent-assisted systems, and mobile-first experiences.
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This listing is sourced directly from Myparadigm's careers page and normalized into a canonical job model.