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senior process systems engineer
5 days ago
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Senior Electrical Power Systems Engineer
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Senior Electrical Power Systems Engineer
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Senior Electrical Power Systems Engineer
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Supervisor, Instrumentation and Electrical
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Process Chemist
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Supervisor, Instrumentation and Electrical
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Electrical Technical Officer
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IT Admin Co-op
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IT Admin Co-op
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Cmms Specialist
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Control Panel Operator
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Manager Maintenance
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Site Supervisor
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Quality Control and Testing Manager
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Instrumentation Technician
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Payroll Clerk
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Document Control Specialist
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Advanced Fleet Maintenance
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Advanced Fleet Maintenance
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senior process systems engineer - Squamish, BC, Canada - Carbon Engineering
Description
Job Type:
Our headquarters is in Squamish, B.and our presence is expanding in many other markets around the world as we commercialize our technologies.
Many of our employees are drawn to CE because of the direct connection between the game-changing work we do and their own personal values.
At our core, Carbon Engineering values integrity, growth, excellence in execution, and fun.Diversity is embraced, and we value an inclusive work environment where every employee has an equal opportunity to be heard.
Reporting to the Director of Process Systems Engineering, the Senior Process Systems Engineer plays an essential role in analyzing and modeling CE technology process data using a wide range of tools and methodologies from simple mathematical and statistical functions to the most sophisticated and novel AI/ML approaches.
The primary objective for this position is to lead and/or assist with various process modeling and data analytics projects that lead to improvements in core CE technologies and Oxy DAC operating plants.
This role involves not only technical expertise but also effective communication and collaboration with various technical and business teams. working onsite at least 2 days a week.Data Collection and Preprocessing
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Exploratory Data Analysis (EDA) of Process Data
Analyze and interpret large amounts of process operation experiment data and information to discover trends and patterns
Visualize data using appropriate techniques
Build predictive models (1st principles models using commercial process modeling software and/or machine learning algorithms)
Apply statistical and machine learning techniques to analyze time series data and extract meaningful insights
Develop custom data models, visualizations, and algorithms to interpret data
Optimize the performance of mathematical and ML models in production environments in enterprise structures
Enhance the MLOps culture and practices enabling the team to create solutions with improved computational performance, scalability, and reliability
Collaborate with subject matter experts and engineers to understand their needs and help them with the end-to-end model development lifecycle
Post-graduate degree, PhD preferred, in Chemical Engineering or Process Systems Engineering preferred with a focus on mathematical, computational modeling, simulation, process design, control, optimization, data analytics, and/or ML
A proven track record of 7 years of experience in Process Systems Engineering, Data Analytics, System Identification, Machine Learning, and data-driven first principles modeling and simulation
Proficiency in using commercial process simulation software (Aspen Plus, Aspen HYSYS, AVEVA, OLI Systems)
Proficiency in data curation techniques such as Integration, Cleansing, and Feature Engineering
Expertise in data-driven ML algorithms including regression, classification, time series, predictive models, dimension reduction, and data mining
Proficient in using Python and ML frameworks and libraries such as TensorFlow, scikit-learn, or PyTorch
Experience with data visualization tools such as Power BI, Matplotlib, Seaborn, Bokeh, and ParaView
Experience with git version control
Experience in end-to-end model deployment (MLOps) covering data collection, productization, integration, and ongoing maintenance or retraining
Experienced with the implementation of Active Machine Learning (AML)
Experience with formulating SQL queries
Experience with big data technologies and platforms such as Hadoop, Spark, and NoSQL
Knowledge of Natural Language Processing, Reinforcement Learning, and Computer Vision
Experience in software development
Carbon Engineering offers a competitive compensation package, including extended health benefits.
Our location in the outdoor recreation hub of Squamish gives you access to world-class skiing, mountain biking, climbing, hiking, and other outdoor activities within minutes of the office while in close proximity to Vancouver, one of the most beautiful and culturally diverse cities in Canada.
Joining Carbon Engineering provides you more than a career; Carbon Engineering is committed to creating a diverse environment and is proud to be an equal opportunity employer.
All qualified applicants are encouraged to apply and will receive equal consideration for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age.
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