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Natural gas Jobs in Toronto, ON
Natural Language Processing
Leading EdgeToronto, ON, Canadagas technician
JB Finishing IncEtobicoke, ON, CANR - Natural Resources Graduate - Toronto
GHDToronto, ON, CanadaProject Manager - Standards Development, Natural Resources
CSA GroupToronto- Promoted
External Communications Advisor
SeequentGolden Horseshoe, York Region, CanadaEngineering Analyst II
AirswiftNorth York, Ontario, CanadaVice President, Corporate Ratings, Energy & Natural Resources
R08_DBRSLtdCanada DBRS Limited - Canada Legal EntityToronto- Promoted
- New!
Natural Gas Strategist Engineer
AramcoToronto, ON, CanadaRegulatory Energy Analyst [Full-Time Temporary] / EPCOR
The MEARIE GroupToronto, Ontario, Canada- Promoted
Inside Sales Specialist / Lead Generator
ONIT Energy / Canadian Water SavingsToronto, ON, Canada- Promoted
HVAC Installer
PARC MechanicalOntario, Canadagas station supervisor
KIPLING MYSTOPEtobicoke, ON, CASenior Client Executive - Mining & Natural Resources
CA001 Marsh Canada LimitedBremner,TorontoSenior Gas Fitter
Great ConnectionsToronto, ONMAINTENANCE MECHANIC FACILITIES OPS
City of TorontoToronto, ON, CABoiler Technician (A-Gas ticket)
Johnson ControlsToronto ON BranchBoiler Technician
EllisDonToronto, ON, CA- Promoted
Power Engineer
Mace Staffing Solutions Inc.Toronto, ON, Canada- Promoted
Procurement Manager
BerQ RNG Inc.Ontario, Canada, CanadaFinance / PRA (Oil & Gas)
Net2SourceREMOTE, ONNatural Language Processing
Leading EdgeToronto, ON, Canada- Full-time
- Quick Apply
Job Overview :
As an NLP Engineer, you will play a key role in designing, developing, and deploying NLP solutions that enable machines to understand and generate human language.
Key Responsibilities :
1. Design, develop, and deploy NLP models and algorithms to solve complex language-related problems.
2. Work with large datasets to train and test NLP models, and evaluate their performance.
3. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate NLP solutions into larger products and systems.
4. Stay up-to-date with the latest advancements in NLP research and technologies, and apply this knowledge to improve our NLP solutions.
5. Develop and maintain technical documentation for NLP models and systems.
6. Troubleshoot and resolve technical issues related to NLP systems.
Requirements :
1. Bachelor's or Master's degree in Computer Science, Linguistics, or a related field.
2. 3+ years of experience in NLP, with a strong background in machine learning and deep learning.
3. Experience with NLP libraries and frameworks, such as NLTK, spaCy, or Stanford CoreNLP.
4. Strong programming skills in languages such as Python, Java, or C++ .
5. Experience with cloud-based platforms, such as AWS or Google Cloud.
6. Excellent problem-solving skills and attention to detail.