16 Computer Vision jobs in Montréal

• Develop innovative AI systems that generate competitive advantages.
• Understand and challenge business needs and convert them into functional requirements.
• Write detailed functional analyses and validate them.
• Perform functional testing and assist the testing team.
• Diagnose and resolve issues related to solutions.
• Coach interns and junior analysts.
• Promote the culture of AI transformation within the Bank.

• Bachelor's degree in computer science, administration, or equivalent.
• Minimum of 5 years of experience as an IT analyst
• Experience in developing and deploying AI systems
• Knowledge of agile development methodologies
• Experience producing detailed and relevant user stories
• Familiarity with Atlassian suite (Jira, Confluence, Bitbucket)
• Proficiency in Python, SQL, and AI libraries
• AWS certifications and automation techniques in 'infra as code' (an asset)
• Excellent interpersonal skills and effective communication of AI results to non-technical stakeholders

• Develop innovative AI systems that generate competitive advantages.
• Understand and challenge business needs and convert them into functional requirements.
• Write detailed functional analyses and validate them.
• Perform functional testing and assist the testing team.
• Diagnose and resolve issues related to solutions.
• Coach interns and junior analysts.
• Promote the culture of AI transformation within the Bank.

• Bachelor's degree in computer science, administration, or equivalent.
• Minimum of 5 years of experience as an IT analyst
• Experience in developing and deploying AI systems
• Knowledge of agile development methodologies
• Experience producing detailed and relevant user stories
• Familiarity with Atlassian suite (Jira, Confluence, Bitbucket)
• Proficiency in Python, SQL, and AI libraries
• AWS certifications and automation techniques in 'infra as code' (an asset)
• Excellent interpersonal skills and effective communication of AI results to non-technical stakeholders

A career as an IT Chief Analyst Artificial Intelligence in the AI Factory team at National Bank means acting as a specialist in the development and operations of innovative AI systems, including generative AI.

Your job
Develop innovative AI systems that generate competitive advantages.
Understand and challenge business needs and convert them into functional requirements.
Write detailed functional analyses and validate them.
Perform functional testing and assist the testing team.
Diagnose and resolve issues related to solutions.
Coach interns and junior analysts.
Promote the culture of AI transformation within the Bank.

Your Team
The IT and Operations sector is made up of more than 5500 experts who work in an agile, proactive and collaborative manner to seize opportunities, stay on the cutting edge of technology and continuously improve processes.
You will be part of a multidisciplinary team of 25 passionate colleagues, under the direction of the Senior Director of the AI Factory. The team is distinguished by its expertise in AI, its capacity for innovation, and its collaborative spirit. You will thrive in a stimulating environment conducive to continuous learning and professional growth.
Our goal is to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible and adaptable schedule.
The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, Harvard Learning Centre and coaching and mentoring support are available to you at any time.

Prerequisites
Bachelor's degree in computer science, administration, or equivalent.
Minimum of 5 years of experience as an IT analyst
Experience in developing and deploying AI systems
Knowledge of agile development methodologies
Experience producing detailed and relevant user stories
Familiarity with Atlassian suite (Jira, Confluence, Bitbucket)
Proficiency in Python, SQL, and AI libraries
AWS certifications and automation techniques in 'infra as code' (an asset)
Excellent interpersonal skills and effective communication of AI results to non-technical stakeholders
Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family. * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and Family Assistance Program * Preferential banking services * Opportunities to get involved in community initiatives * Telemedicine service * Virtual sleep clinic These are a few of the benefits available to you. We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged. We're putting people first We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees. We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates! What can you bring to our team? Come live your ambitions with us!

Job Description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience, with at least 2 years in both deep learning and software engineering
• Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
• Experience with CNNs, LSTMs/RNNs, Transformers
• Strong math skills and Python proficiency
• Experience with C/C++

Preferred Skills & Experience:

• Master's or PhD in Computer Science, Engineering, or related field
• Experience in embedded or low-level programming
• Knowledge of CUDA/OpenGL
• Experience deploying neural networks in production
• Familiarity with model compression techniques like quantization, pruning, etc.

These are permanent full time remote positions.

Job Description

Company Description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

The Data Platform Group , part of the Ubisoft Data Office within Ubisoft IT, develops Ubisoft's data platform and manages data services and tools for all of the company's data. As a trusted enterprise-wide resource, our products offer the tools and data infrastructure needed for the development of data services and products by all Ubisoft teams.

The Machine Learning Developer - AI/ML role contributes to the establishment, maintenance, and evolution of the platform and internal tools to enable the development and deployment of machine learning models. The person works closely with online system and operations specialists, programmers and data scientists. The specialist is responsible for the optimization of processes for the production launch of machine learning projects. The person is responsible for ensuring the security, robustness and performance of machine learning solutions during production deployments.

 

What you'll do

• Govern and contribute to the industrialization of ML/AI projects, focusing on the deployment and maintenance of pipelines and models in production.
• Contribute to the identification of new or improved approaches and technical tools.
• Acting as a consultant to guide technologies and/or advising on proofs of concept for forecasting/prescribing and AI projects.
• Design and implement services, tests, and interfaces that support the deployment of ML projects.
• Ensure the security, robustness, and performance of ML solutions during production deployments.
• Design and implement scalable, continuous, and automated processes for deploying, monitoring, and versioning ML models.
• Guide, collaborate, and support users in optimizing ML pipelines, by becoming an expert on the Databricks platform.
• Mentor and engage ML/AI practitioners at Ubisoft, sharing knowledge and best practices in ML Ops.
• Participate in proof-of-concept projects, advancing knowledge of new ML technologies.

• 3 to 5 years of complex experience and in-depth expertise related to the position.
• Team player and excellent organizational, interpersonal and communication skills.
• Passion for leveraging data science in problem solving.
• Ability to assess problems quickly, both qualitatively and quantitatively.
• Ability to navigate between the big picture and the details of Data Science / ML Engineering, with a strong programming background with Java, Scala or Python.
• Experience in Machine Learning, Data Science, or a related field, with a focus on improving model and data quality, and the proven ability to build automated AI processes and manage large-scale data pipelines.
• Experience in deploying models, setting up model validation, and operationalizing AI/ML systems at scale in production environments.
• Experience with ML concepts, tools such as MLFlow, and frameworks/libraries like Scikit-learn, PyTorch, XGBoost. Experience with Databricks is an asset.
• Knowledge of Big Data—Spark, PySpark, data engineering, and pipeline architecture technologies is essential.
• Have a foundation in software engineering principles and proficiency in DevOps tools and practices
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or Software or equivalent.

We embrace a hybrid work model  helping you stay connected with your team and aligned with business priorities, while giving you the opportunity to maintain your work-life balance. Note, that some roles are fully office-based and are not eligible for hybrid work.

Just a heads up: If you require a work permit, your eligibility may depend on your education and years of relevant work experience, as required by the government.

Skills and competencies show up in different forms and can be based on different experiences, that's why we strongly encourage you to apply even though you may not have all the requirements listed above.

At Ubisoft, you can come as you are. We embrace diversity in all its forms. We’re committed to fostering a work environment that is inclusive and respectful of all differences

Job Description

Play a key role in shaping MLOps best practices

As a Senior Machine Learning Developer on the ML Platform team, you will work on a suite of tools to support the teams of applied scientists in deploying, orchestrating and productionalizing ML models at scale.

Your primary responsibility will be to create and maintain tooling, libraries and workflows that enable the efficient development of robust, scalable, and maintainable ML models. You will also work closely with Applied Scientists to accelerate the iteration and experimentation process, ensuring faster and more effective model development.

The ML unit at Coveo focuses on finding ways to apply the latest advances in Recommender Systems, Ranking Optimization, LLMs and NLP to build innovative solutions in e-commerce, self-service and other business verticals.

We solve real problems with real data, for hundreds of large enterprise clients all around the world, on a modern platform that serves over 100M requests and automatically trains thousands of ML models on a daily basis.

• Provide end-to-end ML tooling from data exploration to production deployment tooling.
• Facilitate development, deployment, automated testing, monitoring and debugging of ML models
• Analyze and improve the performance of our models and ML Platform to help meet critical SLOs for training models at scale and low-latency inference.
• Facilitate the adoption and usage of ML platform and observability resources and provide guidelines to improve operational efficiency and service reliability.
• Engage with your community of peers to challenge the status quo, improve our shared ways of working, and influence overall architecture decisions.
• Evolve our modern tech stack which includes Python, AWS, Kubernetes, Pytorch, Terraform, Snowflake, Honeycomb and others

• You have 5+ years of Machine Learning industry experience.
• You have operationalized, instrumented and supported ML models in production at a non-trivial scale before
• You are fluent in good data and software engineering practices, and you are able to develop the tools and culture which enable ML teams to deliver reliable production code in an efficient manner.
• You enjoy collaborating with scientists to understand their pain points and figure out how to improve their tools and increase their efficiency. You also have experience working in cross-functional teams.

• You master best practices in MLOps, ML engineering, and large-scale deployment of ML models.
• You have experience maintaining and evangelizing internal resources and libraries.
• You have acquired considerable MLOps experience hosting models at scale, by previously building tooling to facilitate data exploration and experimentation as well as automating and orchestrating complex and efficient training pipelines
• You are recognized for your communication skills and presenting complex technical subjects to audiences with different levels of technical proficiency.

Do you think you can bring this role to life?

You don't need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.
Send us your CV, we want to get to know you! Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. We know that applying for a new role is a lot of work and we really appreciate your time.

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