Research and Develop AI/ML Models for Precision Geospatial, Forestry Analytics, and the Carbon Sector - BC-920

Genre de projet: Recherche
Discipline(s) souhaitée(s): Informatique, Sciences mathématiques, Mathématiques, Foresterie, Sciences naturelles
Entreprise: Carbonethic
Durée du projet: 6 mois à 1 an
Date souhaitée de début: Dès que possible
Langue exigée: Anglais
Emplacement(s): Vancouver, BC, Canada
Nombre de postes: 1
Niveau de scolarité désiré: DoctoratRecherche postdoctorale
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: No

Au sujet de l’entreprise: 

Genesis AI Corp. is pursuing opportunities in precision geospatial forestry analytics and AI-driven solutions for resource mining. Genesis AI's core focus is on utilizing artificial intelligence and machine learning to provide wildfire defense solutions, forest management, and mineral targeting  solutions.

These solutions enable communities, municipalities, and infrastructure providers to effectively prepare for natural disasters like wildfires while optimizing forest and mining infrastructure management. We are developing solutions in the following areas:

1. Forest Inventory and Cruise Module – targeted at conventional forest owners including forest products companies.
2. Carbon Module – for use in the carbon offset and analysis sector.
3. Fire Risk and Recovery Module – aiding in the prevention and recovery from expensive and damaging wildfires
4. Urban Planning Module – biological asset deployment and protection aimed at cities and towns in their protection and proliferation of trees and green spaces.
5. Natural Resources Module – expanding beyond trees and into soils and other geophysical assets to assist in extraction and agriculture.

Veuillez décrire le projet.: 

Our Natural Resources Module, is a software-as-a-Service application utilizing generative AI to create natural resources models to assist mines in understanding their drill hole data.  

What are the main tasks to be performed?

• Collect, clean, and manipulate data 

• Modelling and forecasting mining data to enable more intelligent efficiency for our customers 

• Develop processes and tools to monitor and analyze model performance and data accuracy 

• Utilize predictive modeling to increase and optimize customer experiences, revenue generation, mine drill hole targeting verification

• Analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies 

• Create experimental frameworks for product development

• Assess the effectiveness and accuracy of new data sources and gathering techniques 

• Develop custom data models and algorithms to apply to data sets 

• Develop company A/B testing framework and test model quality 

Expertise ou compétences exigées: 

• Experience using statistical computer languages, R, MATLAB, Python, SQL, Go, Scala.

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. 

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. 

• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, etc. 

• Experience using AWS Sage maker web services 
• Experience in OpenAI, LlaMA and other generative AI/ML technologies.

• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, HBase, Airflow, Google BigQuery, BigTable, Gurobi, MySQL, etc.

• Experience with ML frameworks like Tensorflow, PyTorch, Spark MLlib, XGBoost, and SciKit-Learn