Systems Development Engineer I

7 days ago

Diamond Bar, California, United States Niagara Bottling Full time
Job Title: AI/ML Engineer - Generative AI Tools

At Niagara Bottling, we're seeking a highly skilled AI/ML Engineer to join our team. As an AI/ML Engineer, you will be responsible for designing and developing Generative AI tools, particularly Large Language Models (LLM), and other AI tools aimed at automating project management.

Key Responsibilities:

  • Design and develop AI/ML models and algorithms using Python-based machine learning libraries (e.g., TensorFlow, PyTorch, OpenAI, transformer).
  • Develop, implement, and evaluate AI/ML models and algorithms, including data preprocessing, feature selection, model training, hyper-parameter tuning, prompt engineering, and performance evaluation.
  • Collaborate with cross-functional teams, including data scientists, engineers, and project managers, to build innovative AI/ML applications and integrate them into existing systems.
  • Develop and optimize Machine Learning Operations (ML Ops) for all Predictive Maintenance programs associated with Niagara's fixed assets.
  • Establish ML Ops pipelines and perform essential data engineering tasks.

Requirements:

  • 2-4 years of experience in Python, R, or another programming language.
  • 2-4 years of experience with TensorFlow, PyTorch, or scikit-learn.
  • 0-2 years of experience in Industrial ML/Automation/Data Science or other related fields.
  • 0-2 years of experience with cloud computing platforms such as AWS, Azure, or GCP.
  • 0-2 years of experience with natural language processing (NLP).
  • 0-2 years of experience with Deep learning, Compute Vision, Reinforcement learning.
  • 0-2 years of experience with ethical considerations in machine learning.

Preferred Competencies and Skills:

  • Proficiency in Azure ML studio and related tools for model development, deployment, and monitoring.
  • Proficiency in using query languages such as SQL, Hive, Pig, etc.
  • Proficiency in applied statistical skills, such as distributions, statistical testing, regression, etc.
  • Basic understanding of data acquisition and processing tools and techniques and developing algorithms on common platforms to generate outputs.
  • Basic scripting and programming skills such as Java Script, C++, Python, and C#.
  • Basic understanding of PLC/SCADA systems such as SIEMENS S7, ALLEN BRADLEY, BnR, Edge data Management, etc.
  • Basic understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

Education:

  • Minimum Required: Bachelor's Degree in Computer/Industrial/Automation/Data Science Engineering or other related fields or equivalent experience.
  • Preferred: Master's Degree in Computer/Industrial/Automation/Data Science Engineering.

Compensation:

$78,619.75 - $113,998.64 / Yearly

Benefits:

https://careers.niagarawater.com/us/en/benefits

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