Niagara Water

Niagara Water

Machine Learning Engineer II

Corp-Main - Diamond Bar, CA · Mid

Sponsorship not specified$10k-$30kDetected 1 day ago
JavaScriptPythonJavaC++C#MATLABAlgorithmsSQLNoSQLDatabricksAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDMachine LearningDeep LearningTensorFlowPyTorchscikit-learnPandasNumPy

About the role

  • Once validated, you will deploy these models to low-latency cloud and edge endpoints, seamlessly integrating predictions with plant dashboards, End points Applications and CMMS workflows.
  • Finally, you will establish automated MLOps pipelines in Azure ML Studio to continuously monitor data drift and trigger zero-downtime model retraining as physical factory environments evolve.
  • Clearly articulate complex ML mechanics, decision boundaries, and model limitations to plant managers, IT directors, and executive leadership.

Responsibilities

  • Distributed Compute Tuning: Optimize model training and throughput, leveraging GPU-accelerated training and efficient serialization for massive datasets.
  • High-Fidelity Code: Deliver highly optimized, production-grade, modular software in Python and C++ accompanied by strict unit testing, and clean documentation.
  • Manages a safe working environment, accurately documents safety-related training, and effectively communicates safety incidents
  • Leads/facilitates discussions to get positive outcomes for the customer
  • Continuously evaluates existing programs and processes, and develops new initiatives to increase efficiency and reduce waste
  • Creates, monitors, and responds to departmental performance metrics to drive continuous improvement

Requirements

  • Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Industrial/Automation Engineering, or other related fields or equivalent experience
  • Master's Degree or PhD in Computer Science, Data Science, Artificial Intelligence, Industrial/Automation Engineering, or related field
  • Modern MLOps & Cloud: Hands-on experience with containerization (Docker/Kubernetes), distributed processing (PySpark/Databricks), and cloud architectures, ideally Microsoft Azure.
  • Please note this job description is not a full list of activities, duties or responsibilities required of the employee for this job.

Nice to have

  • Hands-on experience with containerization (Docker/Kubernetes), distributed processing (PySpark/Databricks), and cloud architectures, ideally Microsoft Azure.
  • Experience designing evaluation methodologies, benchmarking systems, and model performance metrics.
  • Experience with MLOps tools and practices (Docker, Kubernetes, CI/CD for ML, MLflow, etc.)
  • Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure, including ML infrastructure, workflow orchestration, storage, and database services.
  • Microsoft Office Applications - Word, Excel, PowerPoint, Outlook, Project, Visio, etc.
  • Proficiency in applied statistical skills, such as distributions, statistical testing, regression, etc.
  • Scripting and programming skills such as Python, SQL, JavaScript, C++, C#, or API-based integration for analytics, automation, and AI agent tool development
  • Basic understanding of PLC/SCADA systems such SIEMENS S7, ALLEN BRADLEY, BnR, Edge data Management, etc.

Skills

  • Production Programming: Exceptional software development skills in Python (writing optimized, vectorized code),Java Script, C/C++ & R
  • Data Handling: Mastery of SQL, NoSQL, and time-series databases (e.g., InfluxDB, TimescaleDB) containing millions of streaming data points.
  • This position is estimated to travel 10-30%
  • This position embodies the values of Niagara's LIFE competency model, focusing on the following key drivers of success:
  • Lead Like an Owner
  • Provides strategic input and oversight to departmental projects
  • Makes data-driven decisions and develops sustainable solutions
  • Skilled in reducing costs and managing timelines while prioritizing long-run impact over short-term wins
  • Makes decisions by putting overall company success first before department/individual success

Compensation

  • $100,464.14 - $145,673.02 / Yearly

Benefits

  • Our Total Rewards package is thoughtfully designed to support both you and your family:
  • Communicates a clear vision, organizes resources effectively, and adjusts the strategy as needed when managing change

Company info

  • At Niagara, we're looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.
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This listing is sourced directly from Niagara Water's careers page and normalized into a canonical job model.