The Role As one of our Principal ML Engineer's, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that ...
Quick apply
The Role As one of our Principal ML Engineer's, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that ...
Computer Vision/ML Engineer
Montreal, QC · On-site
Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills - this is critical for our edge ...
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Computer Vision/ML Engineer
Montreal, QC · On-site
Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills - this is critical for our edge ...
Apply cutting-edge research in machine learning and computer graphics to solve real-world problems ... Nous sommes à la recherche d'un(e) ingénieur(e) principal(e) en apprentissage profond ayant de ...
New
Apply cutting-edge research in machine learning and computer graphics to solve real-world problems ... Nous sommes à la recherche d'un(e) ingénieur(e) principal(e) en apprentissage profond ayant de ...
New
Computer Vision/ML Engineer
Montreal, QC · On-site
Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills - this is critical for our edge ...
Computer Vision/ML Engineer
Montreal, QC · On-site
Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills - this is critical for our edge ...
Generative AI Engineer
Montreal, QC · On-site
Work closely with machine learning engineers and data engineers to design, build, and test models. * Develop efficient and scalable algorithms for training and inference of generative models ...
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Generative AI Engineer
Montreal, QC · On-site
Work closely with machine learning engineers and data engineers to design, build, and test models. * Develop efficient and scalable algorithms for training and inference of generative models ...
Work closely with engineers and product managers to ensure reliable and innovative deliveries What ... Interest in AI and machine learning * Familiarity with relational databases and Visual Studio
Quick apply
Work closely with engineers and product managers to ensure reliable and innovative deliveries What ... Interest in AI and machine learning * Familiarity with relational databases and Visual Studio
Ingenieur en Intelligence Artificielle, IQVIA Digital /AI Engineer, IQVIA Digital
Kirkland, QC · On-site
Ingenieur en Intelligence Artificielle - Media OS Engineering Apercu du poste IQVIA Media OS ... Concevoir, developper et optimiser des modeles de machine learning et des algorithmes d'IA
Ingenieur en Intelligence Artificielle, IQVIA Digital /AI Engineer, IQVIA Digital
Kirkland, QC · On-site
Ingenieur en Intelligence Artificielle - Media OS Engineering Apercu du poste IQVIA Media OS ... Concevoir, developper et optimiser des modeles de machine learning et des algorithmes d'IA
Work closely with engineers and product managers to ensure reliable and innovative deliveries What ... Interest in AI and machine learning * Familiarity with relational databases and Visual Studio
Work closely with engineers and product managers to ensure reliable and innovative deliveries What ... Interest in AI and machine learning * Familiarity with relational databases and Visual Studio
Expérience avec des projets de Machine Learning (atout fort)
Expérience avec des projets de Machine Learning (atout fort)
Expérience avec des projets de Machine Learning (atout fort)
Expérience avec des projets de Machine Learning (atout fort)
... Machine Learning / AI en production . Vous agirez en propriétaire end-to-end des pipelines de ... engineering orientée performance et valeur métier Profil recherché Expérience Minimum 5 ans ...
... Machine Learning / AI en production . Vous agirez en propriétaire end-to-end des pipelines de ... engineering orientée performance et valeur métier Profil recherché Expérience Minimum 5 ans ...
Data Engineer
Montreal, QC · Hybrid
Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...
Data Engineer
Montreal, QC · Hybrid
Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...
Data Engineer
Montreal, QC · On-site
Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...
Data Engineer
Montreal, QC · On-site
Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...
Data Engineer
Montreal, QC · Hybrid
Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...
Data Engineer
Montreal, QC · Hybrid
Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...
L4 Technical Professional
Montreal, QC · On-site
You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep ...
L4 Technical Professional
Montreal, QC · On-site
You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep ...
... Machine Learning. Le rôle du programmeur principal en C++ avec une expérience en IA/ML est ... Programmer de manière claire et structurée en respectant les exigences de performance, de ...
Quick apply
... Machine Learning. Le rôle du programmeur principal en C++ avec une expérience en IA/ML est ... Programmer de manière claire et structurée en respectant les exigences de performance, de ...
We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to ...
We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to ...
Work with our machine learning engineers to put cutting edge deep learning algorithms in production. * Develop tools and contribute to open source wherever possible. * Adopt problem solving as a way ...
Work with our machine learning engineers to put cutting edge deep learning algorithms in production. * Develop tools and contribute to open source wherever possible. * Adopt problem solving as a way ...
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve ...
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve ...
... machine learning et l' IA generative (Gen AI) . Le/la candidat(e) devra etre a l'aise avec le developpement en Python , l' analyse predictive et le prompt engineering . Il/elle devra etre capable de ...
... machine learning et l' IA generative (Gen AI) . Le/la candidat(e) devra etre a l'aise avec le developpement en Python , l' analyse predictive et le prompt engineering . Il/elle devra etre capable de ...
Machine Learning Engineer information
What engineers make $500,000?
Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.
What do machine learning engineers do?
Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.
What are Machine Learning Engineers?
Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?
To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.
Which 5 jobs will survive AI?
Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.
What Does a Machine Learning Engineer Do?
A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.
What engineers make $300,000 a year?
Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.
What are some common challenges faced by Machine Learning Engineers when deploying models to production?
Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.
What is the difference between Machine Learning Engineer vs Data Scientist?
| Aspect | Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's or Master's in CS, Data Science, or related; experience with ML frameworks | Bachelor's or Master's in Statistics, Data Science, or related; strong analytical skills |
| Work Environment | Develops scalable ML models, deploys algorithms into production | Analyzes data, builds models, interprets data insights |
| Industry Usage | Tech companies, startups, AI-focused firms | Finance, healthcare, marketing, research organizations |
While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.
More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Quebec? The most popular types of Machine Learning Engineer jobs in Quebec are:
What are popular job titles related to Machine Learning Engineer jobs in Quebec? For Machine Learning Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Quebec look for? The top searched job categories for Machine Learning Engineer jobs in Quebec are:
What are popular job titles related to Machine Learning Engineer jobs in QC? For Machine Learning Engineer jobs in QC, the most frequently searched job titles are:
Full-time
Medical, Dental, Vision, Life, PTO
Posted 3 days ago
Job description
About Opportunity
We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers’ platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning — powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.
The Role
As one of our Principal ML Engineer’s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
What You'll Do
- Define and drive the technical vision for ML solutions across products and platforms
- Own the end-to-end software development lifecycle — from design and code reviews through to deployment and operations
- Architect high-performance, scalable microservices, including synchronous and asynchronous web services
- Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing
- Mentor engineers, set technical direction, and foster a strong team culture
- Champion engineering excellence, system resilience, and continuous operational improvement
Requirements
Required Qualifications
- Degree in Computer Science, Mathematics, or a related field
- 5–10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)
- 5–10 years of Python expertise, including advanced features and libraries
- Strong experience designing RESTful APIs (e.g., FastAPI)
- Proficiency with Docker, Kubernetes, and CI/CD pipelines
- 3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP)
- Proven experience as a tech lead or engineering mentor
Preferred Qualifications
- MS or PhD in Computer Science or ML
- Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT
- Familiarity with NoSQL and document databases
- Track record of handling big data, optimising workflows, and improving system performance
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Training & Development