Machine Learning Engineer II

Machine Learning Engineer II – Niagara Bottling

We’re looking for Team Members who want to be part of achieving our mission to provide customers the highest quality and most affordable bottled water. Join an entrepreneurial and dynamic environment where you can make an impact, develop lasting relationships, and build a satisfying career.

• Design, build and own end‑to‑end predictive and prescriptive maintenance systems using Azure Machine Learning Studio, leveraging industrial sensor and PLC data.
• Develop advanced supervised and unsupervised models to predict Remaining Useful Life (RUL), detect complex anomalies, and prescribe optimized corrective actions. Handle highly imbalanced datasets and build robust classifiers and regression models.
• Create agentic AI and prescriptive workflows that reason over asset‑health data, parse digital manuals via Retrieval‑Augmented Generation, interact with operational APIs, and generate automated outputs. Use XGBoost, Random Forest, LSTM, Autoencoder, Isolation Forest, One‑Class SVM, Dynamic Time Warping, and PCA.
• Standardize, clean, enrich raw telemetry and PLC tag data, and build scalable, reproducible training and inference pipelines (MLflow, Kubeflow, Azure ML). Deploy models to hybrid cloud and edge endpoints with low latency.
• Optimize distributed training and inference, leveraging GPU acceleration and efficient serialization for massive datasets.
• Deliver high‑fidelity, production‑grade code in Python and C++, accompanied by unit testing and documentation.
• Communicate complex ML mechanics and model limitations to plant managers, IT directors, and executive leadership, bridging data science and physical operations.
• Establish automated MLOps pipelines that continuously monitor data drift and trigger zero‑downtime model retraining as factory environments evolve.

• Education:
  
  Bachelor’s degree in Computer Science, Data Science, Electrical/Mechanical Engineering, Mathematics, or a related quantitative field. Master’s or PhD with a machine‑learning focus is highly preferred.
• Experience:
  
  5–7 years in Python, R, or another programming language; 5–7 years with Tensor Flow, PyTorch, or scikit‑learn; 5–7 years in Industrial ML, Automation, or related fields; 3–5 years in NLP (LLM, RAG) and agentic AI; 3–5 years in responsible AI and security considerations.
• Technical
  
  Skills:
  
  Deep expertise in PyTorch or Tensor Flow; proficient in Python, JavaScript, C/C++, and R; experience with Docker, Kubernetes, CI/CD for ML, MLflow, and Azure Cloud; mastery of SQL and No
  
  SQL time‑series databases (InfluxDB, Timescale DB).
• Travel:
  Estimated 10‑30%.
• Additional Requirements:
  
  This position is open to Los Angeles County  residents only. Qualified applicants with arrest or conviction records will be considered in accordance with the Los Angeles County  Fair Chance Ordinance and the California Fair Chance Act.
• Strong communication, problem‑solving, and analytical skills; ability to work with minimal supervision and in a dynamic environment.

Niagara

BottlingLLC is an Equal Opportunity Employer that does not discriminate on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status or disability in relation to recruiting, hiring and promotion practices.