Inframark · 3 days ago
Senior Machine Learning Operations Engineer
Florida, USA
Full-time
Onsite
Senior Level
5+ years expInframark is a company pioneering automation and intelligence solutions for water and wastewater plants. They are seeking a Senior MLOps Engineer to architect and build production ML infrastructure, enabling the deployment of machine learning models at scale for multiple utility customers.
InfrastructureTransportationWaste ManagementWaterWater Purification
Responsibilities
Design and implement multi-tenant ML model serving infrastructure that supports customer isolation, monitoring, and cost allocation
Build CI/CD pipelines for automated model training, testing, validation, and deployment
Establish data quality frameworks including validation, drift detection, and monitoring at scale
Create model versioning, A/B testing, and rollback capabilities for production deployments
Collaborate closely with data scientists to establish workflows that enable independent model deployment while maintaining quality and consistency
Implement observability and monitoring systems for model performance, data quality, and infrastructure health
Design and document architectural patterns and best practices for the ML platform
Optimize infrastructure costs across multiple customer deployments
Ensure security, compliance, and data isolation requirements are met in multi-tenant architecture
Bridge the gap between pilot/proof-of-concept systems and production-ready infrastructure
Qualification
Required
5-8+ years of experience in MLOps, DevOps, or ML infrastructure engineering
Proven experience architecting and building ML platforms from scratch (0→1), not just maintaining existing systems
Deep understanding of multi-tenant architecture patterns, including data isolation, security, and cost optimization
Strong experience with containerization (Docker, Kubernetes) and orchestration for ML workloads
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) for production ML deployment
Experience designing and implementing CI/CD pipelines for ML models
Strong knowledge of data quality monitoring, model drift detection, and observability practices
Proficiency in Python and infrastructure-as-code tools (Terraform, CloudFormation, etc.)
Experience working with Python ML Stack: pytorch, scikit-learn, numpy, and pandas
Experience working closely with data scientists to enable their productivity and independence
Excellent communication skills—able to explain architectural decisions and tradeoffs to both technical and business stakeholders
Preferred
Experience in time-series data, SCADA systems, or edge computing
Previous experience scaling ML systems from pilots to hundreds of production deployments
Familiarity with water/wastewater utility operations or industrial control systems
Benefits
Health, dental, and life insurance
401(k) plan
Paid time off
Sick leave
Holidays
Wellness plan
Company
Inframark
Inframark is an Water Infrastructure Operations and Infrastructure Management Services.
1001-5000 employees
H1B Sponsorship
Inframark has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (2)
2021 (1)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
unknown2020-12-21Acquired
Leadership Team
O
Ozong Etta
Chief Financial Officer
Recent News
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