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Nlp Jobs in Quebec (NOW HIRING)

SurveyMonkey

$126.40 - $158/hr

As a key member, you will work at the intersection of Data Science and DevOps, building robust ML systems that support generative AI, NLP, and real‑time classification. You will report to the ...

Vooban

Scientifique en IA (AI Scientist)

Quebec, QC

Chez Vooban, tu touches à plusieurs projets et plusieurs domaines d'affaires en parallèle: machine learning, deep learning, RAG, LLM, NLP, computer vision, robotique. Personne ne va te dicter quoi ...

Vooban

Scientifique en IA (AI Scientist)

Quebec, QC

Chez Vooban, tu touches a plusieurs projets et plusieurs domaines d'affaires en parallele: machine learning, deep learning, RAG, LLM, NLP, computer vision, robotique. Personne ne va te dicter quoi ...

Tree Trust

$126.40 - $158/hr

Mastery of ML concepts (supervised/unsupervised learning) and deep understanding of Large Language Models (LLMs) and NLP. * Expert-level Python skills and experience with high-scale data processing ...

TEHORA

Expert(e) en intelligence artificielle

Levis, QC · On-site

Microsoft Foundry, MLOps, NLP ou recherche semantique; * OpenSearch, Elasticsearch ou moteur de recherche distribue; * Architecture de donnees et integration applicative; * Experience dans le secteur ...

TEHORA

Expert(e) en intelligence artificielle

Quebec, QC · On-site

Microsoft Foundry, MLOps, NLP ou recherche semantique; * OpenSearch, Elasticsearch ou moteur de recherche distribue; * Architecture de donnees et integration applicative; * Experience dans le secteur ...

Levio

Developpeur.euse Prompt IA

Montreal, QC

Diriger la mise en uvre d'applications de TAL (NLP), de solutions basees sur les LLM, de modeles predictifs et d'agents intelligents * Developper et integrer des services d'IA a l'aide d'AWS Bedrock ...

Td

Sr. Full Stack Data Science Engineer

Montreal, QC · On-site

CA$154K - CA$199K/yr

Predictive Analytics, Natural Language Processing (NLP), Supervised and Unsupervised Learning, leveraging Generative AI tools and APIs, Model Development and Deployment, Experimentation and ...

Autodesk

Senior Applied AI/ML Developer

Montreal, QC · Remote

This role is hands-on, focusing on technical problem solving with the latest in NLP and ML technology. Our team culture is built on collaboration, mutual support, and continuous learning. As a Senior ...

TailorCare

Data Platform Architect

Montreal, QC · Hybrid

Solid grounding in ML/AI systems: feature stores, point-in-time correctness, model lifecycle, NLP for clinical text. You evaluate model proposals on their merits * Direct experience with patient ...

Genesys

Solution Consultant

Quebec, QC

Working knowledge of AI in customer experience - such as NLU/NLP, LLMs, retrieval-augmented generation (RAG), prompt design, and orchestration or agentic patterns - and the ability to position their ...

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All JobsNlp JobsNlp Jobs in Quebec

Nlp information

See Quebec salary details

$57.5K

$150.8K

$228K

How much do nlp jobs pay per year?

As of Aug 1, 2026, the average yearly pay for nlp in Quebec is $150,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,500.00 and $171,000.00 per year, depending on experience, location, and employer.

What is an NLP job?

An NLP (Natural Language Processing) job involves developing algorithms and models that enable computers to understand, interpret, and generate human language. NLP professionals work on tasks such as text analysis, speech recognition, machine translation, and chatbot development. They typically use machine learning, deep learning, and linguistic techniques to improve natural language comprehension in applications like virtual assistants, search engines, and sentiment analysis tools.

What are the typical projects or tasks that an NLP specialist works on within a company?

NLP specialists commonly work on projects such as building chatbots, developing text classification models, automating document analysis, or improving search engines and recommendation systems. Daily tasks can include annotating data, training and evaluating models, collaborating with data engineers and product teams, and staying up-to-date with the latest research. You'll often be involved in both the development and deployment of language-based AI solutions, which might include integrating APIs, optimizing performance, or addressing real-world language challenges. Collaboration and communication are key, as NLP projects typically involve cross-functional teams spanning engineering, data science, and business stakeholders.

Is NLP a good career option?

NLP (Natural Language Processing) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. Careers in NLP typically require skills in machine learning, programming, and linguistics, and are in demand across industries such as tech, healthcare, and finance. It offers opportunities for research, development, and application of innovative language technologies.

What are the key skills and qualifications needed to thrive in the Nlp position, and why are they important?

To thrive in Natural Language Processing (NLP), you need a solid background in computer science, linguistics, and mathematics, often supported by a relevant degree or advanced studies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with NLP libraries (e.g., spaCy, NLTK) are crucial, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and the ability to communicate technical concepts clearly are important soft skills. These skills are essential for designing, developing, and optimizing language-based AI solutions that address complex linguistic challenges in real-world applications.

What are the jobs in NLP?

Jobs in NLP include roles such as NLP Engineer, Data Scientist, Machine Learning Engineer, and Research Scientist, focusing on developing algorithms for language understanding, speech recognition, and text analysis. These positions often require skills in programming languages like Python, knowledge of NLP libraries such as NLTK or spaCy, and experience with machine learning frameworks like TensorFlow or PyTorch.

Does NLP pay well?

NLP (Natural Language Processing) specialists typically earn competitive salaries, especially with experience and advanced skills in machine learning, deep learning, and programming languages like Python. Salaries vary by industry and location but generally reflect the high demand for expertise in AI and data analysis tools.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.
What are popular job titles related to Nlp jobs in Quebec? For Nlp jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Nlp jobs in Quebec look for? The top searched job categories for Nlp jobs in Quebec are:
Nlp jobs near you
Infographic showing various Nlp job openings in Quebec as of July 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $150,765 per year, or $72.5 per hour.

Lead AI & Data Engineer / Lead Ingnieur/ingnieure IA & Donnes

MIA Innovation

Montreal, QC • On-site

Other

Re-posted yesterday

Job description

Salary:

Tu cherches un dfi ambitieux en tant que Lead AI Engineer Montral ?

Rejoins MIA Innovation.


propos de nous

MIA Innovation est une entreprise qubcoise spcialise en intelligence artificielle applique et en dveloppement logiciel sur mesure.

Notre mission : concevoir, industrialiser et dployer des solutions IA robustes, utiles et rentables pour les entreprises canadiennes.

Nous ne faisons pas des POC qui restent dans un notebook.
Nous construisons des systmes qui vivent en production.


Notre exigence :

  • Data exploitable, valide et structure
  • Architectures solides et scalables
  • Industrialisation relle
  • Performance mesurable


Nos projets couvrent :

  • Analyse et structuration de documents complexes (NLP, RAG)
  • Extraction intelligente connecte SAP / ERP / CRM
  • Scoring & prdiction mtier
  • Automatisation IA intgre aux systmes clients


Pour franchir un nouveau cap, nous recrutons notre pilier IA Data.

Un profil hands-on.
Un builder.
Un architecte qui code.


Ton rle

Tu seras responsable de la solidit technique de nos projets IA.

Concrtement, tu vas :

  • Concevoir des architectures IA robustes (RAG, extraction, classification, scoring, agents)
  • Structurer les pipelines dingestion et de validation data
  • Dfinir les standards techniques IA de lentreprise
  • Dvelopper et dployer des solutions en production (Azure, GCP)
  • Mettre en place le monitoring, lvaluation et le contrle qualit des modles
  • Rduire les risques techniques ds la phase de cadrage
  • Challenger les choix darchitecture et les dcisions techniques
  • Accompagner et faire monter lquipe

Ce poste est hands-on.
Tu codes. Tu dploies. Tu structures.


Ce quon attend de toi

Tu as dj :

  • Livr des systmes IA en production
  • Construit des pipelines data robustes
  • Gr des contraintes cloud, scurit et performance
  • Travaill avec des donnes imparfaites, volumineuses ou sensibles

Tu es capable de :

  • Penser architecture et cot en mme temps
  • valuer la qualit data avant de modliser
  • Construire des solutions maintenables
  • Arbitrer entre performance, robustesse et time-to-market
  • Dire non quand il faut dire non
  • T'intgrer dans des environnements modernes (Cloud) mais aussi de naviguer avec des systmes Legacy (vieux ERP, on-premise, contraintes matrielles).

Exprience attendue :

  • 6+ ans en AI Engineering / ML Engineering / Data Engineering
  • Matrise avance de Python
  • Exprience en NLP / IA gnrative apprcie
  • Exprience relle en dploiement cloud (Azure, GCP ou AWS)
  • Connaissances MLOps, CI/CD, conteneurisation


Stack technique

IA & Data


  • Python
  • Pipelines data
  • Modles ML / NLP
  • Embeddings / RAG (atout fort)
  • valuation et monitoring

Production

  • APIs
  • Intgration ERP / CRM
  • Docker
  • CI/CD
  • Logging & monitoring

Cloud

  • Azure et/ou GCP


Pourquoi nous rejoindre ?

  • Projets IA concrets et dploys
  • Entreprise qubcoise en croissance
  • Impact direct sur larchitecture de lentreprise
  • Autonomie relle
  • Possibilit dvolution vers Head of AI
  • Environnement exigeant, ambitieux et humain
  • Bureau au HUB-IA Place des Arts (2j/semaine)


Ce quon ne cherche pas

  • Un profil purement acadmique
  • Un data scientist qui ne fait que du modeling
  • Un manager qui ne code plus


Ce quon cherche

Un btisseur.

Quelquun qui veut structurer une quipe IA ambitieuse et faire de MIA une rfrence technique au Canada.


Au plaisir de te rencontrer!