We're seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative techniques to ...
We're seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative techniques to ...
Performance mesurable Nos projets couvrent : * Analyse et structuration de documents complexes (NLP, RAG) * Extraction intelligente connectée à SAP / ERP / CRM * Scoring & prédiction métier
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Performance mesurable Nos projets couvrent : * Analyse et structuration de documents complexes (NLP, RAG) * Extraction intelligente connectée à SAP / ERP / CRM * Scoring & prédiction métier
... NLP) and evolving techniques like graph analytics. Surveillance solutions and other tools help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading ...
... NLP) and evolving techniques like graph analytics. Surveillance solutions and other tools help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading ...
Responsabilites principalesIA, NLP et GenAI * Concevoir, prototyper et evaluer des solutions LLM/NLP afin de tester des hypotheses et de repondre a des besoins d'affaires et techniques. * Developper ...
Responsabilites principalesIA, NLP et GenAI * Concevoir, prototyper et evaluer des solutions LLM/NLP afin de tester des hypotheses et de repondre a des besoins d'affaires et techniques. * Developper ...
Contributions to open-source data processing or NLP tooling. What we offer * The chance to contribute meaningfully to a globally critical initiative * Comprehensive health benefits (including mental ...
Contributions to open-source data processing or NLP tooling. What we offer * The chance to contribute meaningfully to a globally critical initiative * Comprehensive health benefits (including mental ...
NLP, modeles de fondation, architectures theoriques et apprentissage par renforcement. * Apprentissage Automatique Distribue : Passage a l'echelle (scaling), optimisation de l'entrainement sur ...
NLP, modeles de fondation, architectures theoriques et apprentissage par renforcement. * Apprentissage Automatique Distribue : Passage a l'echelle (scaling), optimisation de l'entrainement sur ...
Applied Machine Learning Scientist II (ATH # 5215)
Montreal, QC · On-site
CA$125K - CA$154K/yr
Department Overview TD Model Validation (MV) group is responsible for the independent validation and approval of models used forAgentic AI,Generative AI, Natural Language Processing (NLP), credit ...
Applied Machine Learning Scientist II (ATH # 5215)
Montreal, QC · On-site
CA$125K - CA$154K/yr
Department Overview TD Model Validation (MV) group is responsible for the independent validation and approval of models used forAgentic AI,Generative AI, Natural Language Processing (NLP), credit ...
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 ...
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 ...
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 ...
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 ...
Microsoft Foundry, MLOps, NLP ou recherche semantique; * OpenSearch, Elasticsearch ou moteur de recherche distribue; * Architecture de donnees et integration applicative; * Experience dans le secteur ...
Microsoft Foundry, MLOps, NLP ou recherche semantique; * OpenSearch, Elasticsearch ou moteur de recherche distribue; * Architecture de donnees et integration applicative; * Experience dans le secteur ...
Microsoft Foundry, MLOps, NLP ou recherche semantique; * OpenSearch, Elasticsearch ou moteur de recherche distribue; * Architecture de donnees et integration applicative; * Experience dans le secteur ...
Microsoft Foundry, MLOps, NLP ou recherche semantique; * OpenSearch, Elasticsearch ou moteur de recherche distribue; * Architecture de donnees et integration applicative; * Experience dans le secteur ...
Microsoft Foundry, MLOps, NLP ou recherche semantique; * OpenSearch, Elasticsearch ou moteur de recherche distribue; * Architecture de donnees et integration applicative; * Experience dans le secteur ...
Microsoft Foundry, MLOps, NLP ou recherche semantique; * OpenSearch, Elasticsearch ou moteur de recherche distribue; * Architecture de donnees et integration applicative; * Experience dans le secteur ...
IA generative et NLP (fine-tuning, prompt engineering, integration de modeles) * Connaissance de Python (requis), R (un atout) * Experience Databricks (contexte AI/ML, atout) * Experience en analyse ...
IA generative et NLP (fine-tuning, prompt engineering, integration de modeles) * Connaissance de Python (requis), R (un atout) * Experience Databricks (contexte AI/ML, atout) * Experience en analyse ...
Developpeur.euse Prompt IA
Montreal, QC · On-site
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 ...
Developpeur.euse Prompt IA
Montreal, QC · On-site
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 ...
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 ...
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 ...
Full Stack Data Science Engineering Specialist
Montreal, QC · On-site
CA$187K - CA$261K/yr
Predictive Analytics, Natural Language Processing (NLP), Supervised and Unsupervised Learning, leveraging Generative AI tools and APIs, Model Development and Deployment, Experimentation and ...
Full Stack Data Science Engineering Specialist
Montreal, QC · On-site
CA$187K - CA$261K/yr
Predictive Analytics, Natural Language Processing (NLP), Supervised and Unsupervised Learning, leveraging Generative AI tools and APIs, Model Development and Deployment, Experimentation and ...
Network Forecasting Analyst
Dorval, QC · On-site
Provide sound commercial recommendations based on optimization studies using available tools, such as NetLine/Plan (NLP) * Collaborate with the Alliances and Interline team on the evaluation of ...
Network Forecasting Analyst
Dorval, QC · On-site
Provide sound commercial recommendations based on optimization studies using available tools, such as NetLine/Plan (NLP) * Collaborate with the Alliances and Interline team on the evaluation of ...
Familiarite avec des taches de NLP telles que la classification, l'extraction ou le resume * Experience de travail avec des ensembles de donnees etiquetes et l'amelioration iterative des donnees
Familiarite avec des taches de NLP telles que la classification, l'extraction ou le resume * Experience de travail avec des ensembles de donnees etiquetes et l'amelioration iterative des donnees
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 ...
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 ...
Atout : experience en vision par ordinateur (Computer Vision) et/ou en traitement automatique du langage naturel (NLP); * Excellente communication en francais et en anglais. L'anglais est requis, le ...
Atout : experience en vision par ordinateur (Computer Vision) et/ou en traitement automatique du langage naturel (NLP); * Excellente communication en francais et en anglais. L'anglais est requis, le ...
Nlp information
See Quebec salary details
$57.5K - $73K
1% of jobs
$73K - $88.5K
3% of jobs
$88.5K - $104K
5% of jobs
$104K - $119.5K
11% of jobs
$124.4K is the 25th percentile. Wages below this are outliers.
$119.5K - $135K
16% of jobs
The median wage is $145K / yr.
$135K - $150.5K
22% of jobs
$165.3K is the 75th percentile. Wages above this are outliers.
$150.5K - $166K
18% of jobs
$166K - $181.5K
11% of jobs
$181.5K - $197K
6% of jobs
$197K - $212.5K
4% of jobs
$212.5K - $228K
3% of jobs
$57.5K
$150.8K
$228K
How much do nlp jobs pay per year?
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?
What qualifications do I need for natural language processing?
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:

Full-time
Posted 10 days ago
Morgan Stanley rating
8.3
Based on 156 frontline employees who took The Breakroom Quiz
37th of 152 rated financial services
Job description
We're seeking someone to join our team as a Data Scientist (NLP Specialist) in Non-Financial Risk to develop and deploy advanced AI models using NLP, Machine Learning, and quantitative techniques to improve surveillance and compliance monitoring.
In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory, and franchise risk. This is a Director level position within the NFR Data & Analytics team, which is responsible for designing and optimizing surveillance models and tools using advanced analytical techniques to help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do in the role:
Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.
Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
Conduct research to identify novel methods for enhancing analytical solutions.
Collaborate with stakeholders across Compliance, Legal, Financial Crimes, and IT to promote adoption of new AI/ML/NLP capabilities.
Champion innovative approaches to improve detection of suspicious activity.
What you'll bring to the role:
At least 4 years of hands-on experience building AI/ML/NLP solutions and applying advanced statistical methods to solve complex business problems, together with a Master's or PhD in a quantitative discipline such as Computer Science, Statistics, Mathematics, Engineering, or Machine Learning.
Knowledge of software design and system principles and excellent skills in either Python (preferred) or Java.
Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, etc.
Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations.
Strong problem solving and time management skills.
Familiarity with financial markets, especially in Compliance, Non-Financial Risk, and Fraud analytics.
Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques.
Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases.
All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.
Knowledge of French and English is required.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
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About Morgan Stanley
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Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.
Industry
Finance and insurance and software development
Company size
10,000+ Employees
Headquarters location
New York, NY, US