About SewerAI Corporation
SewerAI is transforming underground infrastructure management through AI-powered inspection and risk analysis. Our platform helps contractors, engineering firms, and utilities unlock valuable insights from sewer inspection data—turning hours of manual video review into actionable intelligence in minutes. After doubling our customer base over the past year, we’re now entering an exciting phase of accelerated growth.
About the Role
We're looking for an MLOps Engineer to own the Machine Learning Operations infrastructure that powers our AI products. In this role, you will be the architectural backbone of our machine learning systems, responsible for designing, hardening, and scaling the infrastructure that powers our applied machine learning models for underground infrastructure and sewer line analysis.
You will focus on transitioning research and development into robust, production-ready systems. This means taking ownership of our training and inference pipelines, fortifying our cloud-based architecture, and building seamless CI/CD processes to ensure our models deliver reliable, high-performing, and secure actionable insights for defect detection and infrastructure maintenance.
What You'll Work On
Architectural Hardening: Audit, secure, and optimize our existing cloud infrastructure (AWS) to ensure high availability, fault tolerance, and security for both training and production workloads.
Model Deployment & Inference: Design and maintain scalable architectures for serving deep learning models (PyTorch/TensorFlow), optimizing for low latency and high throughput in handling complex infrastructure data.
CI/CD for Machine Learning: Build and maintain automated pipelines for model testing, validation, deployment, and rollback.
Training Infrastructure: Architect efficient, scalable compute environments for training complex computer vision and time-series models on large datasets.
Monitoring & Observability: Implement comprehensive monitoring for model drift, data quality, and system health, ensuring rapid response to performance degradation.
Required Technical Skills
Cloud Infrastructure: Deep expertise in AWS (e.g., EC2, S3, EKS, SageMaker, Lambda) and cloud security best practices.
Containerization & Orchestration: Strong experience with Docker and Kubernetes for packaging and scaling ML applications.
Infrastructure as Code (IaC): Proficiency with tools like Terraform or AWS CloudFormation.
CI/CD Pipelines: Experience building robust automated pipelines using GitHub Actions, GitLab CI, or Jenkins.
Programming: Strong Python skills with a focus on writing clean, production-grade, and well-tested code.
MLOps Frameworks: Familiarity with model registry and tracking tools (e.g., MLflow, Weights & Biases).
Nice-to-Have Skills
Experience with our specific data stack (Hex, dbt, ClickHouse, Anyscale, Ray, Deeplake).
Familiarity with deep learning frameworks (PyTorch preferred) and optimization techniques like TensorRT or ONNX.
Knowledge of edge computing or deploying models to IoT devices.
Experience in the infrastructure, utility, or geospatial domains.
What We're Looking For
4-6+ years of experience in MLOps, DevOps, or Data Engineering, with a strong emphasis on machine learning workloads.
A security-first and stability-first mindset—you think about edge cases, failure modes, and system hardening by default.
Strong collaborative instincts to work closely with Data Scientists, ensuring smooth handoffs from experimentation to production.
Clear communication skills to articulate architectural decisions and tradeoffs to the broader technical team.
What You'll Gain
Impact: Your infrastructure will directly support systems that prevent critical failures in city utility networks.
Ownership: You will have the autonomy to shape the foundational MLOps architecture and set the standard for engineering excellence on the AI team.
Modern Stack: Work alongside highly skilled peers in a modern data and ML ecosystem.
Compensation & Benefits
Base Salary: $130,000-160,00
Equity opportunities available
Benefits include:
Medical, Dental, Vision, Basic Life, 401(k), and more
Unlimited PTO
Tools and resources to support success
Competitive compensation with high-growth potential
Join the fastest-growing team in wastewater tech and help modernize critical infrastructure with AI. You’ll own high-visibility projects, influence how our brand meets the market, and see your work drive measurable impact for customers and communities.
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SewerAI is proud to be an Equal Opportunity Employer. We are committed to providing a workplace free from discrimination or harassment on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. All your information will be kept confidential according to EEO guidelines.
What We Do
SewerAI is transforming the way utilities maintain & rehab their underground infrastructure. Through the use of Artificial Intelligence, SewerAI's AutoCode™ tools automatically detect conditions in pipeline inspection data from CCTV crawler, digital side scanners, drones, GoPros, & jetter cameras. SewerAI’s web-based platform, Pioneer™ enables contractors, utilities, & engineers to upload data, review condition reports, send & receive submittals, & collaborate on capital planning like never before. Based in Walnut Creek, CA, SewerAI was founded in Q1 of 2019 & is a funded early stage startup. It’s staff & advisors posses a combined total of over 150+ years performing condition assessments in sewer collection systems, and with tens of millions of linear feet of sewer data under management. SewerAI is committed the solutions it creates are relevant, useful, & integrate seamlessly with existing hardware, software, & industry standards for condition assessment deliverables.
