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Machine Learning Scientist Jobs in Quebec

Senior Machine Learning Scientist
By Coursera At Canada
Strong communication and collaboration skills, with experience in translating complex analysis results to a non-technical audience
Collaborate with cross-functional teams to identify growth opportunities and insights through personalized user experiences and targeted marketing initiatives
Previous experience in machine learning, data science, or a related field, specifically in a marketing or growth context
Experience with marketing analytics & audience building, Large Language Models, propensity modeling, reinforcement learning, bandit algorithms, and/or personalized marketing algorithms
Extensive experience (5+ years) in machine learning, data science, or a related field, specifically in a marketing or growth context
Develop and implement machine learning models for user conversion optimization, personalization, propensity modeling, and next best action recommendations
Senior Machine Learning Developer
By Elastic At Montreal, Quebec, Canada
Be comfortable working in a fully-remote environment
Experience designing, training, and evaluating supervised and unsupervised models using popular ML frameworks
Working knowledge of deep learning and clustering algorithms
Experience with writing and running tests (unit tests, integration tests, regression tests)
Experience with performing data analysis as required to support data quality decisions
Experience with AWS or GCP
Data Scientist / Machine Learning Intern
By CANN Forecast At Montreal, Quebec, Canada
Experienced with writing computer code, querying databases, and using computer languages like Python and SQL query.
Experience using Python libraries to create machine learning / statistical models (scikit-learn, SciPy, pandas, TensorFlow, XGBoost, etc).
Experience with time series data is considered an asset.
Strong problem-solving skills: An ability to approach complex problems analytically and derive actionable insights from data.
Work closely with senior data scientists on real-world projects, contributing to the development and improvement of the AI/ML model performance.
Conduct research and analysis to identify patterns and insights from time series data to improve forecasting accuracy.
Ai Machine Learning Resident
By Apziva At Canada
Unlimited industry projects: gain hands-on industry project experience and apply your knowledge and skills on solving real problems.
Strengthen your Resume and Portfolio: Work with a Hiring Manager from industry-leading companies
Practice Mock Interviews: Practice technical interviews with Principal Data Scientists, Machine Learning Engineers and improve your interview skills.
Remote and flexible: work remotely which you can do at your own pace from the comfort of your home.
Take the Skills Review Survey: Take a 20-minute Machine Learning and Python assessment.
Initial Interview: Interview with our Director of AI to talk about your goals and skills
Machine Learning Resident Jobs
By Apziva At Canada
Unlimited industry projects: gain hands-on industry project experience and apply your knowledge and skills on solving real problems.
Strengthen your Resume and Portfolio: Work with a Hiring Manager from industry-leading companies
Practice Mock Interviews: Practice technical interviews with Principal Data Scientists, Machine Learning Engineers and improve your interview skills.
Remote and flexible: work remotely which you can do at your own pace from the comfort of your home.
Take the Skills Review Survey: Take a 20-minute Machine Learning and Python assessment.
Initial Interview: Interview with our Director of AI to talk about your goals and skills
Machine Learning (M/L) Developer
By Ceridian At Canada
Skills and experience we value
Collaboration: Work closely with software developers, data scientists, and domain experts to understand project requirements and collaborate on multidisciplinary projects.
Fundamental knowledge of supervised and unsupervised learning techniques, reinforcement learning, deep learning, and ensemble methods
Firsthand experience in developing and implementing machine learning algorithms and models in some capacity
Strong programming experience with Python and popular machine learning libraries (e.g., TensorFlow, Keras, PyTorch, scikit-learn)
API programming experience (Flask, FastAPI, etc.)
Machine Learning Researcher Jobs
By Replayz At Canada
2+ years of professional experience in using SQL and data management.
4+ years of experience in programming with Python.
3+ experience in using Natural Language Processing (NLP), particularly pre-processing, embedding, and applying ML algorithms on unstructured textual data.
3+ years of professional experience working with languages and frameworks typically used in machine learning (e.g., Pytorch, scikit-learn, NLTK).
3+ years of professional experience in software development best practices (e.g. version control, testing, documentation).
3+ years of professional experience in developing machine learning models using the Cloud computing platforms (e.g., AWS, GCP)
Remote--Junior Support Data Scientist/Machine Learning--Full Time
By Visionary Innovative Technology Solutions LLC At Canada
This role is flexible in that you can work from home.
• Thorough troubleshooting, debugging, and problem-solving skills
• Strong C, C++ coding skills, along with Python, C# and Java
• Azure, AWS cloud development experience
Experience in one or more of these areas desirable
• Excellent C/C++ coding skills
Machine Learning Resident Jobs
By Apziva At Canada
2. Skills Review Survey: Complete a 20-minute assessment on Machine Learning and Python proficiency.
3. Initial Interview: Have a discussion with our Director of AI to discuss your goals and skills.
2. Mentorship: Collaborate closely with an industry expert mentor who will provide personalized 1-on-1 guidance and support.
1. Application: Explain why you are the ideal candidate for this opportunity.
Dev., Machine Learning Engineering Bts / Bst [Bell]
By CareerBeacon At Boucherville, Quebec, Canada
BA/BS degree in Computer Science or a related engineering field, or equivalent practical experience
3-5 years of experience with software development in Python/ self taught in Python
Experience with projects in NLP and comfortable with concepts such as sentence transformers, encoder-decoder models, etc.
Experience with developing, training and hyper tuning predictive models (pandas,numpy,Tensorflow,Pytorch)
Experience with version control such as Git
Researching and assessing new technology/methodologies
Senior Product Manager, Machine Learning Platform
By Scribd At Canada
5+ years of experience in product management, with a focus on machine learning or AI-related products.
Develop a deep understanding of our discovery team's needs and workflows, and translate them into clear requirements and product roadmap.
Past experience building and managing machine learning platforms or similar products.
Knowledgeable and passionate about generative AI and deep learning technologies.
Skilled at analyzing complex, large-scale data sets and making decisions based on data.
Technical experience with analytical tools, methodologies, and design.
Data Scientist (Deep Learning)
By DELAN - Chasseurs de Talents en TI At Montreal, Quebec, Canada
• 5+ years of experience as a Data Scientist
• 2+ years of experience in Deep Learning (PyTorch or TensorFlow)
• Experience in Artificial Intelligence and/or Big Data projects
• Experience with GCP – Google Cloud Platform (Big Query, Kubernetes, Vertex AI)
• Knowledge in the pharmaceutical and/or medical field (asset)
• Analyser un très haut niveau de données et les transformer
Teaching Assistant - Bmde 520 - Machine Learning For Biomedical Data
By McGill University At Montreal, Quebec, Canada
Graduate training in Biomedical Engineering with a good understanding of Machine Learning for Biomedical Data. Good oral and written communication skills.
Connect with the course instructor, and correct the midterm, the project and the final
Only registered graduate McGill students can be hired as TAs
Comment postuler à un emploi (pour les candidats externes)
Senior Machine Learning Scientist
By Recursion At Montreal, Quebec, Canada
PhD in Computer Science or related quantitative field or the equivalent practical experience.
2+ years of hands-on experience applying modern machine learning methods to solve real-world problems.
Extensive experience using modern technologies to accelerate machine learning (e.g. PyTorch, TensorFlow/Keras, Horovod, etc)
Curiosity and the professional skill-set to excel in an open, highly collaborative environment.
Outstanding past projects, publications, and presentations, and a demonstrated ability to communicate results to cross-functional stakeholders.
Your work will change lives. Including your own.
Senior Machine Learning Scientist - Medical Image Processing
By vortX labs At Canada
*This role is fully remote for anyone working from British Columbia or Alberta.*
Location: Canada, Remote, PT/MT Zones
Who We Are Looking For
Please send your current resume to [email protected] or apply on LinkedIn
**Please include if you require any reasonable accommodations for any part of the application process.
Machine Learning Scientist Internship - Reinforcement Learning
By Coursera At Canada
Strong programming skills in Python or a similar language
Knowledge of reinforcement learning is required
Research experience in reinforcement learning, demonstrated through publications in top-tier conferences such as NeurIPS, ICML, or ICLR
Experience with personalization or marketing applications
Knowledge of other advanced machine learning techniques
Previous experience in model deployment for a production setting
Data Scientist - Machine Learning - Remote
By NTT DATA Canada At Quebec, Canada
Should have 10 + years of experience in providing end to end solution in Data and Analytics
Minimum 5+ years of experience in cloud service such as Azure/AWS/GCP
Minimum 4+ years of experience in Advanced Analytics - Technology Strategy, Analytics Operating Model and Machine Learning Operations
Experience in integrating ML process across the various toolsets (Domino Data labs, CI/CD pipelines, CloudBees etc.)
Experience in AI/ML operations and automation of various proceses as part of the MDLC
Experience leading and delivering AI/ML operating model and modern analytics technology stack

Are you passionate about using data to solve complex problems? Do you have a knack for developing innovative machine learning models? If so, we have the perfect job for you! We are looking for a Machine Learning Scientist to join our team and help us create cutting-edge solutions to challenging problems. As a Machine Learning Scientist, you will be responsible for developing and deploying machine learning models to improve our products and services. You will have the opportunity to work with a diverse team of experts and explore the latest technologies in the field. If you are excited about pushing the boundaries of machine learning, this is the job for you!

Overview A Machine Learning Scientist is a professional who uses advanced mathematical and statistical techniques to develop and implement machine learning algorithms. They are responsible for designing, testing, and deploying machine learning models to solve complex problems in a variety of industries. Detailed Job Description A Machine Learning Scientist is responsible for developing and deploying machine learning algorithms to solve complex problems. They must be able to identify and analyze data, develop and test machine learning models, and deploy them in production. They must also be able to communicate their findings to stakeholders and other team members. Job Skills Required
• Knowledge of machine learning algorithms and techniques
• Knowledge of programming languages such as Python, R, and Java
• Knowledge of data analysis and visualization tools
• Ability to identify and analyze data
• Ability to develop and test machine learning models
• Ability to deploy machine learning models in production
• Ability to communicate findings to stakeholders and other team members
Job Qualifications
• Bachelor’s degree in computer science, mathematics, or a related field
• Master’s degree in computer science, mathematics, or a related field
• Experience with machine learning algorithms and techniques
• Experience with programming languages such as Python, R, and Java
• Experience with data analysis and visualization tools
• Knowledge of statistics and probability
Job Knowledge
• Knowledge of machine learning algorithms and techniques
• Knowledge of programming languages such as Python, R, and Java
• Knowledge of data analysis and visualization tools
• Knowledge of statistics and probability
• Knowledge of software engineering principles
Job Experience
• Experience with machine learning algorithms and techniques
• Experience with programming languages such as Python, R, and Java
• Experience with data analysis and visualization tools
• Experience with software engineering principles
• Experience with deploying machine learning models in production
Job Responsibilities
• Identify and analyze data
• Develop and test machine learning models
• Deploy machine learning models in production
• Communicate findings to stakeholders and other team members
• Monitor and evaluate machine learning models
• Update machine learning models as needed