Machine Learning Engineer
florvets structuresPortland (ME)
About the role
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 PyTorchExcellent 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
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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