Our team delivers extensive engineering and CAE simulation expertise along with cutting-edge digitalization solutions, such as AI, machine learning, IIoT, operational technologies, and Industry 4.0.
Quick apply
Our team delivers extensive engineering and CAE simulation expertise along with cutting-edge digitalization solutions, such as AI, machine learning, IIoT, operational technologies, and Industry 4.0.
Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models * Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...
Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models * Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...
Data internship, Fall 2026
Levis, QC · Hybrid
Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models * Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...
Data internship, Fall 2026
Levis, QC · Hybrid
Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models * Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...
... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...
... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...
... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...
... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...
Research Associate, Quantitative Research Team - TD Asset Management
CA$110K - CA$150K/yr
Academic or industry training in AI, machine learning, or deep learning. * Programming experience with MATLAB or R. * Knowledge of risk models such as BARRA, APT, Northfield, Axioma etc. and risk ...
Research Associate, Quantitative Research Team - TD Asset Management
CA$110K - CA$150K/yr
Academic or industry training in AI, machine learning, or deep learning. * Programming experience with MATLAB or R. * Knowledge of risk models such as BARRA, APT, Northfield, Axioma etc. and risk ...
... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
Data Scientist II
Montreal, QC · On-site
... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
Data Scientist II
Montreal, QC · On-site
... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...
What you will do Develop data science, machine learning, and generative AI solutions that support engineering use cases such as data access, content extraction, data enhancement, recall and ...
New
What you will do Develop data science, machine learning, and generative AI solutions that support engineering use cases such as data access, content extraction, data enhancement, recall and ...
New
... engineering problems. You will work closely with traders and quantitative colleagues to deliver ... Utilize machine learning capabilities to strengthen market analysis and uncover actionable insights.
... engineering problems. You will work closely with traders and quantitative colleagues to deliver ... Utilize machine learning capabilities to strengthen market analysis and uncover actionable insights.
Proven experience in developing and implementing machine learning models. * Proficiency in programming languages such as Python, and experience with ML frameworks like PyTorch or TensorFlow.
Proven experience in developing and implementing machine learning models. * Proficiency in programming languages such as Python, and experience with ML frameworks like PyTorch or TensorFlow.
Share your knowledge about AI Safety and help researchers and engineers at LawZero better design and implement new ML algorithms and experiments. Skills and qualifications * A PhD in machine learning ...
Share your knowledge about AI Safety and help researchers and engineers at LawZero better design and implement new ML algorithms and experiments. Skills and qualifications * A PhD in machine learning ...
AI Team Lead
Montreal, QC · Hybrid
Our team delivers extensive engineering and CAE simulation expertise along with cutting-edge digitalization solutions, such as AI, machine learning, IIoT, operational technologies, and Industry 4.0.
Quick apply
AI Team Lead
Montreal, QC · Hybrid
Our team delivers extensive engineering and CAE simulation expertise along with cutting-edge digitalization solutions, such as AI, machine learning, IIoT, operational technologies, and Industry 4.0.
Senior Data Scientist
Montreal, QC · On-site
Experience with developing Machine Learning and statistical models. * Excellent programming skills using notebook environments, e.g. Jupyter, Databricks, and familiarity with SQL, Python (including ...
Senior Data Scientist
Montreal, QC · On-site
Experience with developing Machine Learning and statistical models. * Excellent programming skills using notebook environments, e.g. Jupyter, Databricks, and familiarity with SQL, Python (including ...
Apply cutting-edge research in machine learning, computer vision, and computer graphics. * Work ... Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field * 5+ years of ...
Apply cutting-edge research in machine learning, computer vision, and computer graphics. * Work ... Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field * 5+ years of ...
Senior Applied AI Scientist
Quebec, QC · On-site
Experience in practical machine learning applications and development * Ability to develop innovative solutions in artificial intelligence to resolve concrete and complex challenges * Programming and ...
Senior Applied AI Scientist
Quebec, QC · On-site
Experience in practical machine learning applications and development * Ability to develop innovative solutions in artificial intelligence to resolve concrete and complex challenges * Programming and ...
You will implement, in C++, core machine-learning/computer vision and (inverse-) procedural ... Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field * 3+ years of ...
You will implement, in C++, core machine-learning/computer vision and (inverse-) procedural ... Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field * 3+ years of ...
... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...
Quick apply
... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...
Entry Level Machine Learning Engineer information
See Quebec salary details
$21K - $36K
20% of jobs
$44.4K is the 25th percentile. Wages below this are outliers.
$36K - $51K
9% of jobs
$51K - $66K
1% of jobs
The median wage is $79.6K / yr.
$66K - $81K
22% of jobs
$81K - $96K
22% of jobs
$96.7K is the 75th percentile. Wages above this are outliers.
$96K - $111K
12% of jobs
$111K - $126K
2% of jobs
$126K - $141K
3% of jobs
$141K - $156K
3% of jobs
$156K - $171K
3% of jobs
$171K - $186K
2% of jobs
$21K
$87.2K
$186K
How much do entry level machine learning engineer jobs pay per year?
As of Jul 23, 2026, the average yearly pay for entry level machine learning engineer in Quebec is $87,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $98,500.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?
To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.
What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?
As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
What is an Entry Level Machine Learning Engineer job?
An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.
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 Entry Level Machine Learning Engineer jobs in Quebec? For Entry Level Machine Learning Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Quebec look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Quebec are:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 18 days ago
Job description
Maya HTT is a world leading developer of digital industries software solutions. The world’s top tier engineering and manufacturing organizations rely on Maya HTT’s experience and expertise to achieve the full potential of their software investment. Maya HTT is at the forefront of innovation technology. Our team delivers extensive engineering and CAE simulation expertise along with cutting-edge digitalization solutions, such as AI, machine learning, IIoT, operational technologies, and Industry 4.0.
About the role:
Main responsibilities:
Qualifications:
Nice to have:
Why join Maya HTT?
Maya HTT is an equal opportunity employer and committed to fostering diversity and inclusion in the workplace. Accommodations are available upon request for candidates taking part in all aspects of the hiring and selection process.
About the role:
Maya HTT is looking for an AI Presales Engineer to support the growth of its industrial AI services and software solutions portfolio (M-Bot and others), including Siemens Digital Industries Software solutions such as Insights Hub, Mendix, and RapidMiner. Maya HTT helps industrial and manufacturing companies design, deploy, and scale AI solutions across areas such as energy optimization, productivity improvement, quality, predictive maintenance, supply chain intelligence, and manufacturing/industrial operations.
In this role, you will work closely with sales, engineering, data science, and customer teams to identify business challenges, shape technical solutions, deliver demos and workshops, and support proposals for AI, analytics, digital transformation, and industrial data initiatives.
Main responsibilities:
- Lead technical discovery sessions with industrial customers to understand operational, manufacturing, and business challenges
- Translate customer needs into compelling AI, analytics, and digital transformation solution concepts
- Prepare and deliver demos, workshops, proof-of-concept proposals, and technical presentations
- Support opportunities involving RapidMiner, M-Bot, advanced analytics, explainable AI, AI automation, and enterprise AI tools
- Collaborate with sales teams on proposals, scopes of work, solution estimates, and value propositions
- Assess customer data readiness, OT/IT architecture, integration needs, and deployment constraints
- Work with delivery teams to ensure proposed solutions are feasible, scalable, and aligned with customer ROI
- Support partner-driven opportunities involving Siemens, Aveva, and other industrial AI partner solutions
- Represent Maya HTT in customer meetings, webinars, events, and executive-level technical discussion.
Qualifications:
- Bachelor’s degree in Engineering, Computer Science, Data Science, or a related industrial AI/data technical field
- Relevant experience in pre-sales, solution consulting, industrial analytics, AI/ML, manufacturing systems, or technical sales support
- Strong understanding of machine learning, industrial data, time-series analytics, predictive maintenance, optimization, generative AI, or computer vision
- Familiarity with industrial environments such as manufacturing, energy, aerospace, automotive, utilities, or process industries
- Ability to communicate technical concepts clearly to both manufacturing/operations teams and business stakeholders
- Experience supporting demos, workshops, presentations, proposals, and customer-facing technical discussions
- Strong consultative mindset with the ability to connect technology capabilities to measurable business value
- Excellent communication skills in English, both oral and written (The position requires regular interaction with colleagues, suppliers and customers based outside of Quebec, nationally and internationally).
Nice to have:
- Experience with RapidMiner, Aveva PI, Siemens Industrial Edge, Insights Hub, Mendix, or related industrial software platforms
- Knowledge of PLCs, SCADA, historians, MES, ERP, cloud platforms, MLOps, or data integration architectures
- Experience in AI solution scoping and business case development
- French language skills, both oral and written, are an asset.
Why join Maya HTT?
- Flex Working Hours and Hybrid Work. Office downtown Montreal, 2-minute walk from Atwater Metro.
- Permanent Position and Competitive Base Salary.
- 100% Employer-Paid Benefits starting from Day One: Medical, Dental, Vision, Life, Short/Long Term disability insurances.
- Retirement Savings: Group RRSP / DPSP Plan with Employer Contributions open to join from Day One
- Career Growth Opportunities: Our flexible career paths allow you to grow, and we like to promote internally.
- Learning Opportunities: Learn from the best in the industry and develop your skills.
- Generous Time-Off Policy: We promote a Healthy Work-Life Balance with a Flexible PTO Policy, Sick/Personal Days, and a Summer Flex Schedule.
- Structured Onboarding Program: We’re invested in your success; you’ll have team members to support you and provide a wide range of assistance from Day One.
- Join an award-winning company that is recognized worldwide as an industry leader.
Maya HTT is an equal opportunity employer and committed to fostering diversity and inclusion in the workplace. Accommodations are available upon request for candidates taking part in all aspects of the hiring and selection process.