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Mlops Engineer Jobs in Quebec (NOW HIRING)

Maya HTT

AI Presales Engineer

Montreal, QC

Maya HTT is a world leading developer of digital industries software solutions. The world's top ... Knowledge of PLCs, SCADA, historians, MES, ERP, cloud platforms, MLOps, or data integration ...

hireVouch

Forward Deployed Engineer

Quebec, QC

You collaborate closely with the AI Team (model training, MLOps, data exploration) and feed field​ signals back to Product and Engineering so each mandate makes the platform stronger and the next ...

Dollarama, Inc.

Leader IA

Mont-royal, QC · On-site

... engineering ), ainsi qu'une solide comprehension des plateformes de donnees d'entreprise, de l'ingenierie de l'IA et des pratiques MLOps. La reussite dans ce role exige egalement une pensee ...

Capco

Ingenieur en IA/AI Engineer

Montreal, QC

Connaissance des pratiques MLOps et de la gestion du cycle de vie des modeles d'IA * Experience ... The Role As an AI Engineer, you will design and develop AI-first solutions that enhance digital ...

Intact Financial

Senior AI Developer

Montreal, QC

Experience with MLOps practices: CI/CD for models, monitoring, experiment tracking, and ... Track record of mentoring engineers or leading technical initiatives. #LI-Hybrid Ce poste jouera un ...

Dollarama, Inc.

Specialiste, IA

Mont-royal, QC

Experience avec les LLM : fine-tuning, prompt engineering, gestion de versions de modeles ... Comprehension de bonnes pratiques en MLOps. Baccalaureat ou maitrise en informatique, genie ...

BRP

Data Scientist

Montreal, QC

... MLOps principles STAND OUT WITH... * Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning approaches

Tecsys Inc.

Senior Developer (AI / ML)

Montreal, QC · On-site +1

Engineering, Physics, Applied Mathematics and Statistics. You have proven experience in converting ... with MLOps practices, including model/version management, evaluation pipelines, and monitoring ...

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All JobsMlops Engineer JobsMlops Engineer Jobs in Quebec

Mlops Engineer information

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

What is an MLOps Engineer job?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What engineers make $300,000 a year?

Senior MLOps engineers with extensive experience, advanced skills in machine learning deployment, cloud platforms, and automation tools can earn $300,000 or more annually. High compensation is often associated with specialized expertise, leadership roles, and working in competitive tech environments.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, and MLOps engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly in high-growth tech companies.

What are some common challenges Mlops Engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive in the Mlops Engineer position, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What does an MLOps engineer do?

An MLOps engineer is responsible for deploying, managing, and maintaining machine learning models in production environments. They work with tools like Docker, Kubernetes, and cloud platforms to automate workflows, ensure model reliability, and monitor performance. Their role combines software engineering, data science, and DevOps practices to streamline the deployment and lifecycle management of machine learning systems.
What are popular job titles related to Mlops Engineer jobs in Quebec? For Mlops Engineer jobs in Quebec, the most frequently searched job titles are:
Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Quebec as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Presales Engineer

Maya HTT

Montreal, QC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 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:

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.
Our Candidate Experience Flow: HR Screen - Virtual Interviews using Microsoft Teams - In-person interviews including delivering technical presentations - Job Offer
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.