Natural Language Processing Jobs in Toronto
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Search Results - Natural Language Processing Jobs in Toronto
Innodata Inc.-Toronto
candidate will hold an MA or PhD in a related field and possess strong skills in Natural Language Processing (NLP) and data science. This position offers a salary of up to $120,000 CAD per year and allows for remote work opportunities within Canada...
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Perle AI-Toronto
and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai.
What you'll do
Data Annotation & Evaluation: Accurately evaluate and annotate large volumes of text...
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Perle-Toronto
and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai.
What you'll do
Data Annotation & Evaluation: Accurately evaluate and annotate large volumes of text...
Read more
Innodata Inc.-Toronto
Technical skills:
Experience with Natural Language Processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
Proficiency in Python to
handle / transform large datasets (e.g. pre‐ and post‐processing data, pandas)
perform quantitative...
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Perle-Toronto
to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai.
What you'll do
Data Annotation & Evaluation: Accurately evaluate and annotate large volumes...
Read more
EvenUp-Toronto
will have proven experience managing ML teams and expertise in natural language processing. Benefits include comprehensive insurance options, flexible paid time off, and a home office stipend. Join a growing company shaping the future of personal injury law...
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Stacktics Announces Partnership-Toronto
and approaches to both technical teams and business stakeholders.Skilled in applying machine learning algorithms, forecasting methods, optimization strategies, or natural language processing to real‐world use cases.Driven by curiosity and a problem‐solving...
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Make AI Great Again-Toronto
A forward-thinking AI startup in Toronto is seeking talented professionals to join their engineering team. The role focuses on machine learning and natural language processing, requiring an advanced degree and at least 3 years of relevant experience...
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BBA Consultants-Toronto
Type of position: Régulier
Your future role on our team
We are seeking process engineers with 5 to 10 years of experience in mining or consulting to join our extractive metallurgy and mineral processing team in Toronto. In this role, you...
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EvenUp-Toronto
language processing. The ideal candidate will have a strong technical background in ML, NLP, and Python, with a Ph.D., M.S., or B.S. in a related field. This hybrid position allows collaboration with experts in a supportive environment fostering continuous...
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Tech Infinity-Toronto
natural language processing, or machine learning.
Strong programming skills in one or more of the following languages: Python or Scala.
Solid understanding of AI concepts, LLM, Lang Chain, natural language processing, and machine learning algorithms...
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Make AI Great Again-Toronto
of the curve.
What we look for
• Advanced degree (Master’s or PhD) in Computer Science or a related technical discipline.
At least 3 years of professional experience in software development with an emphasis on machine learning and natural language processing...
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Jobgether-Toronto
with chatbot platforms and NLP (Natural Language Processing) tools.
Ability to adjust language models, train bots, and curate interaction flows.
Experience in analyzing chatbot interaction data to improve AI performance.
Strong analytical and critical...
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TMX Group-Toronto
Mathematics, or a related quantitative field.* Experience with specialized AI domains like Natural Language Processing (NLP), ML, Computer Vision, Generative AI/LLMs or Agentic AI.* Hands-on experience building applications with LLM APIs (Gemini/OpenAI/Claude...
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PowerToFly-Toronto
Learning and LLM solutions into production-grade software and have an understanding of ModelOps and MLOps principles.
Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition...
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