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Nlp Jobs in Quebec (NOW HIRING)

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 ...

... NLP) * Minimum of five (5) years' experience with course/program development and delivery, preferably at the post-secondary level * Significant current and relevant industry experience in the ...

... NLP) * Minimum of five (5) years' experience with course/program development and delivery, preferably at the post-secondary level * Significant current and relevant industry experience in the ...

Showing results 21-34

Nlp information

See Quebec salary details

$57.5K

$150.8K

$228K

How much do nlp jobs pay per year?

As of Aug 23, 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?

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 does an NLP specialist do?

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.

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.

Is natural language processing a good career?

Natural language processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. Careers in NLP typically require a strong educational background and proficiency with tools like Python and TensorFlow.

What qualifications do I need for natural language processing?

To work in natural language processing (NLP), candidates typically need a bachelor's degree in computer science, linguistics, or a related field, with many roles requiring a master's or Ph.D. in a relevant area. Strong programming skills in languages like Python, experience with NLP libraries such as NLTK or spaCy, and knowledge of machine learning concepts are essential. Familiarity with data preprocessing, statistical analysis, and tools like TensorFlow or PyTorch also enhances job prospects.

What are the most commonly searched types of Nlp jobs in Quebec?

The most popular types of Nlp jobs in Quebec are:

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:

Infographic showing various Nlp job openings in Quebec as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $150,765 per year, or $72.5 per hour.

Full-time

Re-posted yesterday


Job description

Be the one building AI-powered experiences where they matter most

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day.


Do you have a passion for solving problems and understanding what customers need?

Are you interested in working in an evolving technical space where you bring in new ideas to help your customers transform and innovate their business? As a Solution Consultant, you will listen to the customer to understand their needs and create compelling business solution roadmaps - increasingly powered by AI.

We look for individuals who have a proven track record of finding creative ways of solving complex problems. An out-of-the-box thinker who can drive customer success and build lasting relationships. As a technical ambassador of Genesys, you will be challenged to Go Big, showcasing the Genesys continuously evolving and innovative customer experience offering - including the latest in Genesys AI, from self-service and agent assistance to journey management and automation.

Why work for Genesys?

  • You will showcase your technical expertise and creative talents by developing and presenting dynamic demonstrations to executives, stakeholders and key influencers.
  • You will have a unique opportunity to understand our customers' strategies and help them drive their business using our unique solutions.
  • You will work at the forefront of AI in customer experience, helping customers understand and adopt capabilities such as LLM-powered virtual agents, agent copilots, and AI-driven orchestration.
  • You will have flexibility and independence in designing your work.
  • You will be able to access on-demand and in-person training.
  • You will have internal resources you can call on to help you understand and solve technical challenges.
  • You will have the ability to work closely with other brilliant individuals to collaboratively solve complex technical problems.

What you will be doing

Discover

You will run workshops with business users to uncover gaps and opportunities, define the projected benefits and present the outcomes to all stakeholders. You will lead technical discovery to identify where AI can improve customer experience, operational efficiency and measurable business outcomes.

Design

You will create customized demos and tell the story that showcases the solution. You will support solution designs for customer experience use cases - including self-service, agent assistance, journey management and back-office automation - that may combine LLMs, deterministic workflows, orchestration, fallback strategies and human handoff patterns. You will help customers ground AI responses in trusted enterprise data through knowledge and content strategies, and articulate trade-offs across accuracy, latency, cost and governance.

Demonstrate & Validate

You will build and deliver compelling technical demonstrations and presentations that explain AI capabilities, integration points and business impact. You will support sandbox and trial engagements, AI prototypes and value assessments that help customers validate use cases, integrations and success criteria - and partner with account teams and Professional Services to transition successful engagements toward production.

Learn & Share

You will stay up to date on Genesys products, Genesys AI capabilities and industry best practices, allowing you to continue advising the customer through the implementation process to ensure value. You will share field feedback and customer insights with Product Management, and contribute reusable assets and enablement content that help scale the broader team.

What do you need to have to be successful?

  • A passion for technology, AI and helping people solve problems.
  • Interpersonal communication skills, with polished verbal and written communication - able to explain complex technical and AI concepts in clear business terms for both technical and non-technical stakeholders, including executive audiences.
  • Ability to work in a fast-paced, cross-functional team environment; able to multitask, prioritize and be detail-oriented.
  • Technological know-how of IT concepts, software standards, database and networking technologies.
  • AI fluency: 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 business value.
  • Integration & prototyping: Practical experience integrating cloud or AI solutions with enterprise platforms via RESTful APIs; familiarity with AI-assisted or agentic coding tools and scripting (e.g., Python, JavaScript) to accelerate demos, integrations and proofs of value is a strong asset.
  • Ability to understand customers' security, governance and data-access needs and articulate a solution, including AI evaluation, quality measurement and monitoring considerations.
  • Bachelor's degree or 5+ years of work experience; experience implementing or integrating with CRMs and/or software implementation or coding experience preferred.
  • Experience working with a Cloud or SaaS company preferred; knowledge of Genesys Cloud and Genesys AI a strong asset.
  • Sales acumen: Experience partnering with sales teams to understand customer challenges and provide technical solutioning that supports opportunity progression.
  • Languages: Bilingualism (English and French). French is an asset but not required.
  • Ability to travel up to 50%.

#LI-Remote

#LI-CP1

Soyez au cur de la creation d'experiences propulsees par l'IA, la ou elles ont le plus d'impact.

Chez Genesys, nous aidons les organisations a offrir de meilleures experiences client grace a une plateforme d'orchestration de l'experience alimentee par l'intelligence artificielle. Notre plateforme connecte les personnes, les systemes, les donnees et l'IA afin de permettre aux entreprises d'offrir un service plus personnalise, d'ameliorer leur efficacite operationnelle et de renforcer leurs relations avec leurs clients.

Contribuez a concevoir, soutenir et exploiter une technologie utilisee par plus de 8 000 organisations dans plus de 100 pays, ou l'IA passe chaque jour du potentiel a des deploiements concrets dans des environnements d'entreprise.

Vous etes passionne(e) par la resolution de problemes et la comprehension des besoins des clients?

Souhaitez-vous evoluer dans un environnement technologique en constante evolution ou vos idees contribueront a transformer les activites de vos clients grace a l'innovation?

A titre de conseiller(ere) en solutions, vous travaillerez en etroite collaboration avec les clients afin de comprendre leurs besoins et de concevoir des feuilles de route convaincantes pour leurs solutions d'affaires, de plus en plus alimentees par l'intelligence artificielle.

Nous recherchons des personnes ayant demontre leur capacite a resoudre des problemes complexes de facon creative. Des personnes qui sortent des sentiers battus, favorisent la reussite de leurs clients et batissent des relations durables.

En tant qu'ambassadeur(-drice) technique de Genesys, vous serez appele(e) a voir grand ( Go Big ) en mettant en valeur l'evolution constante de notre plateforme d'experience client, y compris les plus recentes innovations de Genesys AI, allant du libre-service intelligent et de l'assistance aux agents jusqu'a la gestion des parcours clients et l'automatisation.

Pourquoi choisir Genesys?
  • Mettre en valeur votre expertise technique et votre creativite en concevant et en presentant des demonstrations dynamiques aupres de dirigeants, de decideurs et d'autres parties prenantes.
  • Comprendre les strategies de nos clients et les accompagner dans leur transformation grace a nos solutions novatrices.
  • Travailler a l'avant-garde de l'intelligence artificielle appliquee a l'experience client en aidant les organisations a adopter des capacites telles que les agents virtuels propulses par des grands modeles de langage (LLM), les copilotes pour agents et l'orchestration alimentee par l'IA.
  • Profiter d'une grande autonomie et flexibilite dans l'organisation de votre travail.
  • Acceder a des formations en ligne et en presentiel.
  • Tirer parti d'un vaste reseau d'experts internes pour resoudre des defis techniques complexes.
  • Collaborer avec des collegues hautement qualifies afin de concevoir des solutions innovantes pour nos clients.
Ce que vous ferezDecouverte
  • Animer des ateliers avec les utilisateurs d'affaires afin d'identifier les enjeux, les occasions d'amelioration et les benefices attendus, puis presenter les recommandations aux parties prenantes.
  • Diriger les activites de decouverte technique afin d'identifier ou l'intelligence artificielle peut ameliorer l'experience client, l'efficacite operationnelle et les resultats d'affaires mesurables.
Conception
  • Concevoir des demonstrations personnalisees qui mettent en valeur la solution et racontent une histoire adaptee aux besoins du client.
  • Participer a la conception de solutions pour des cas d'utilisation lies a l'experience client, notamment le libre-service, l'assistance aux agents, la gestion des parcours clients et l'automatisation des processus administratifs.
  • Concevoir des solutions pouvant combiner des LLM, des flux deterministes, des mecanismes d'orchestration, des strategies de repli (fallback) et des scenarios de transfert vers un agent humain.
  • Aider les clients a ancrer les reponses de l'IA sur des donnees d'entreprise fiables grace a des strategies de gestion des connaissances et du contenu, tout en expliquant les compromis lies a la precision, a la latence, aux couts et a la gouvernance.
Demonstration et validation
  • Concevoir et presenter des demonstrations techniques et des presentations mettant en valeur les capacites de l'IA, les possibilites d'integration et les benefices d'affaires.
  • Participer a des environnements d'essai (sandbox), a des projets pilotes, a des prototypes IA et a des evaluations de valeur afin d'aider les clients a valider leurs cas d'utilisation, leurs integrations et leurs criteres de succes.
  • Collaborer avec les equipes de comptes et les Services professionnels afin de faire evoluer les initiatives retenues vers un deploiement en production.
Apprentissage et partage
  • Maintenir vos connaissances a jour sur les produits Genesys, les capacites de Genesys AI et les meilleures pratiques de l'industrie afin d'accompagner efficacement les clients tout au long de leur parcours d'implantation.
  • Partager les commentaires des clients avec les equipes de gestion de produits et contribuer au developpement de contenus, d'actifs reutilisables et de materiel d'habilitation afin de soutenir l'ensemble de l'equipe.
Ce qu'il vous faut pour reussir
  • Une passion pour la technologie, l'intelligence artificielle et la resolution de problemes.
  • D'excellentes habiletes en communication orale et ecrite, avec la capacite d'expliquer des concepts techniques et d'IA de facon claire aupres d'intervenants techniques, non techniques et de la haute direction.
  • La capacite d'evoluer dans un environnement dynamique, multidisciplinaire et en constante evolution, tout en gerant efficacement plusieurs priorites.
  • Une bonne comprehension des concepts en technologies de l'information, des normes logicielles, des bases de donnees et des reseaux.
  • Une bonne connaissance de l'IA appliquee a l'experience client, notamment des technologies NLU/NLP, des LLM, de la generation augmentee par recuperation (RAG), de la conception de prompts ainsi que des approches d'orchestration et des architectures agentiques, avec la capacite d'en expliquer la valeur d'affaires.
  • Une experience pratique de l'integration de solutions infonuagiques ou d'IA aux plateformes d'entreprise a l'aide d'API REST. Une connaissance des outils de developpement assistes par l'IA ou des outils de codage agentique ainsi que des langages comme Python ou JavaScript constitue un atout important.
  • La capacite de comprendre les exigences des clients en matiere de securite, de gouvernance et d'acces aux donnees, ainsi que les considerations liees a l'evaluation, a la qualite et au suivi des solutions d'IA.
  • Un baccalaureat ou au moins cinq annees d'experience pertinente. Une experience avec les CRM, l'implantation de logiciels ou le developpement logiciel est fortement souhaitee.
  • Une experience au sein d'une entreprise infonuagique ou SaaS est un atout, tout comme une connaissance de Genesys Cloud et de Genesys AI.
  • Une bonne comprehension du cycle de vente et une experience de collaboration avec les equipes commerciales afin de proposer des solutions techniques favorisant l'avancement des occasions d'affaires.
  • Le bilinguisme (anglais et francais). Le francais constitue un atout, mais n'est pas obligatoire.
  • La capacite de voyager jusqu'a 50 % du temps.
A propos de Genesys

Chaque annee, Genesys permet la creation de plus de 70 milliards d'experiences client exceptionnelles pour des organisations dans plus de 100 pays. Grace a la puissance de l'infonuagique et de l'intelligence artificielle, notre technologie connecte chaque interaction client a travers les fonctions de marketing, de vente et de service, sur tous les canaux, tout en ameliorant egalement l'experience des employes.

Genesys est le pionnier du concept Experience as a Service (EaaS), permettant aux organisations de toutes tailles d'offrir une personnalisation a grande echelle, d'interagir avec empathie et de renforcer la confiance ainsi que la fidelite de leurs clients.

Cette vision est rendue possible grace a Genesys Cloud, une plateforme tout-en-un et le chef de file mondial des centres de contact infonuagiques publics, concue pour offrir rapidit...