Unknown Company

Machine Learning Engineer

portland, or • Posted 4 days ago
Onsite Full Time Electrical & Energy Engineering

Overview

Florvets Structures is a leading construction and engineering company based in Portland, Oregon. We specialize in designing and building innovative and sustainable structures for a variety of industries including commercial, residential, and industrial.

Responsibilities

  • Collaborate with cross-functional teams to identify areas where machine learning can be applied to improve processes and operations
  • Develop and implement machine learning algorithms and models to analyze large datasets and extract valuable insights
  • Work with data engineers to ensure data quality and integrity for machine learning projects
  • Continuously monitor and evaluate the performance of machine learning models and make necessary improvements
  • Stay updated with the latest advancements in machine learning and apply them to enhance our processes and operations
  • Communicate findings and results to both technical and non-technical stakeholders

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Minimum of 3 years of experience in machine learning or data science
  • Strong knowledge of machine learning techniques and algorithms such as regression, clustering, and neural networks
  • Experience with programming languages such as Python, R, and Java
  • Proficient in data manipulation and analysis using SQL and other tools
  • Familiarity with machine learning libraries and frameworks such as TensorFlow, Keras, and PyTorch
  • Excellent problem-solving and analytical skills
  • Strong communication and teamwork abilities
  • Experience in the construction industry is a plus
  • Relocation assistance for out-of-state candidates

Benefits & Additional Information

  • Competitive salary and benefits package
  • Opportunity for growth and advancement within the company
  • Collaborative and dynamic work environment
  • Chance to work on innovative and impactful projects

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