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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. We are powered by our parent company, Builders FirstSource (NYSE: 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.
What You Will Do:
· Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning lifecycle, including model training, deployment, monitoring, and retraining.
· Develop and optimize automated ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to production environments.
· Deploy and support machine learning models and AI solutions in production, maintaining best practices for scalability, reliability, security, and operational excellence.
· 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.
· 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.
· Implement and maintain IaC patterns using Terraform.
· Troubleshoot and resolve complex technical challenges related to model deployment, ML infrastructure, and production operations.
· Provide guidance and mentorship to other engineers.
What You Need to Succeed:
· Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience.
· 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 in Python programming, ML Framework and Agentic AI. Implemented model monitoring, experiment tracking, model versioning, and governance practices.
· Experience working with cloud-based machine learning solutions, preferably within Azure.
· Ability to independently solve complex technical challenges, make sound decisions with minimal guidance, and drive work to completion.
Ready to Join? Apply now at myparadigm.com/careers/
Skills Required
- Bachelor's degree in Computer Science, Data Science, AI, or equivalent experience
- 4+ years professional experience in software engineering, ML engineering, MLOps, platform or DevOps engineering
- Strong understanding of the ML lifecycle: training, validation, deployment, monitoring, retraining
- Experience building and maintaining automated ML pipelines and CI/CD workflows
- Experience with MLOps platforms/tools: MLflow, Kubeflow, Azure Machine Learning, Databricks
- Python programming experience
- Experience with containerized ML workloads using Docker and orchestration with Kubernetes
- Implement and maintain IaC patterns using Terraform
- Experience with cloud-based machine learning solutions (preferably Azure)
- Experience implementing model monitoring, experiment tracking, model versioning, and governance practices
- Ability to independently solve complex technical challenges and mentor other engineers
Paradigm (myparadigm.com) Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Paradigm (myparadigm.com) and has not been reviewed or approved by Paradigm (myparadigm.com).
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Healthcare Strength — Health insurance is called out positively with comprehensive options across medical (Dean Health Plan and UnitedHealthcare), dental (Delta Dental), and vision (EyeMed), plus FSA/HSA accounts. These elements are characterized as solid and competitive for a mid-sized firm.
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Leave & Time Off Breadth — PTO with 10 paid holidays and two Mental Health Days, plus paid parental leave (six weeks), provide meaningful time-off support. A flexible work environment and remote/hybrid options reinforce work–life balance as a major plus.
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Wellbeing & Lifestyle Benefits — An EAP, small office/tech and learning stipends, recognition programs, pet insurance discounts, daycare discounts, and snacks complement the core package. Flexibility and supportive culture further bolster everyday wellbeing.
Paradigm (myparadigm.com) Insights
What We Do
Paradigm is a technology company providing SaaS solutions specifically tailored for the building industry. Our customers include homebuilders, renovation contractors, lumberyards, dealers, distributors, retailers, and manufacturers. Paradigm’s software solutions help organizations throughout the supply chain boost sales, reduce costs, and become more competitive. Careers At Paradigm, it’s our people who make us stand out. Discover our energetic and entrepreneurial atmosphere! Here, you can learn, grow, and let your skills shine. We offer great benefits like paid time off, holidays, health and dental insurance, competitive salaries, a 401k plan, life insurance, opportunities for advancement, and more. If you're looking for an innovative company to grow with, check out our website: myparadigm.com/careers. 🚀 Join us and be part of something amazing!
