Senior Engineer- Machine Learning
Badger Meter1 day ago
Milwaukee, WI, USASenior
Responsibilities
- Lead machine learning initiatives and investigations, including defining scope, tasks, schedules, budgets, and validation criteria.
- Design, build, maintain, test, validate, deploy, monitor, and tune end-to-end machine learning pipelines and models.
- Develop predictive models, classifiers, time-series data-mining methods, and anomaly-detection algorithms for installation quality, outage detection, and fleet health monitoring.
- Monitor deployed models for drift, degraded performance, and unexpected outcomes, and lead remediation efforts.
- Design data pipelines integrating carrier network, weather, manufacturing test, and other internal and external data sources.
- Interface with AWS ML infrastructure and datastores including SageMaker, EC2, ECS, Glue, Elasticsearch, and Amazon Redshift.
- Establish testing and validation frameworks and coordinate field or manual verification studies.
- Support integration of model outputs into customer-facing dashboards and reporting tools.
- Mentor engineers on data ingestion, cleaning, model development, and ML pipeline practices.
- Collaborate with engineering, digital engineering, analytics, reliability, quality, design, and customer-facing teams to translate findings into corrective actions.
- Represent the team on projects, report findings to leadership, document procedures, and manage tickets related to model development, testing, and deployment.
Requirements
- Bachelor’s or master’s degree in engineering, mathematics, statistics, computer science, data science, or data analytics, or equivalent practical experience.
- At least 5 years of related experience in machine learning, data science, or applied analytics; relevant master’s research may count toward part of this experience.
- Strong engineering, statistical, mathematical modeling, and simulation fundamentals.
- Proficiency in Python and SQL, with experience using NoSQL data stores, Elasticsearch, Amazon Redshift, Grafana, and Jupyter Notebooks.
- Experience with AWS cloud-based data and machine learning platforms, including S3, SageMaker, Redshift, EC2, ECS, and Glue.
- Experience with version control workflows and tools such as GitHub.
- Experience developing predictive models, classifiers, time-series data-mining methods, and anomaly-detection algorithms.
- Experience modeling performance and detecting anomalies in IoT device, sensor, endpoint, or other large-scale time-series data, including near-real-time analysis.
- Experience designing, testing, validating, deploying, and monitoring machine learning models in production.
- Experience with data visualization and business intelligence tools.
- Ability to define model expectations and success criteria with non-technical stakeholders and communicate results clearly.
- Preferred: experience integrating third-party data sources, managing ML pipelines end to end, understanding device hardware and reliability or failure analysis, solving problems independently, driving projects to completion, and familiarity with Lean Six Sigma or continuous improvement methods.
Benefits
- Competitive pay, annual bonus eligibility, and eligibility for annual pay increases.
- Comprehensive health, vision, and dental coverage.
- 15 days of paid time off and 11 paid holidays.
- Retirement plan contribution match of 25 cents per dollar contributed up to 7% of eligible compensation, plus a 5% annual defined contribution.
- Access to a certified financial planner at no cost.
- Employer-paid employee assistance, basic group life insurance, short-term disability, and other benefits.
- Tuition reimbursement of up to $5,250.
- Optional additional life insurance, long-term disability, accident, and critical illness coverage.
- Health Savings Account and Flexible Spending Account options.
Categories
Data EngineeringML Engineering
About Badger Meter
Badger Meter builds smart water technology for water utilities, municipalities, and commercial and industrial customers, including flow meters, water quality and pressure sensors, communications endpoints, and analytics software. It sells hardware paired with network connectivity, data and analytics subscriptions, and related services to help customers monitor usage and system health. Founded in 1905 and headquartered in Milwaukee, Wisconsin, Badger Meter operates globally as a public company listed on the NYSE.