Remote Machine Learning Engineer New Grad Jobs in Montreal, QC

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.
Role Summary:
The AI Team Lead leads a multidisciplinary team delivering production-grade AI solutions for industrial and manufacturing environments, including telemetry analytics, machine vision, inspection systems, and data-driven optimization. This role combines hands-on technical expertise with team leadership and project execution, requiring a pragmatic leader who can bridge advanced AI innovation with real-world industrial constraints while driving delivery excellence and client value.
What to expect as your main responsibilities:

• Architect and oversee development of end-to-end AI solutions (from model development to deployment to on-going monitoring) in industrial environments.

• Lead and mentor a team of AI/ML developers/engineers, computer vision specialists, and frontend/backend software developers; enforce best practices in MLOps, code quality, and system reliability.

• Drive industrial IP-building initiatives for modular technology "bricks" creation (e.g., defect detection engine, quality inspection, object tracking, forecasting modules) using state-of-the-art deep learning and classical techniques where appropriate.

• Collaborate with clients and internal stakeholders to translate operational problems into scalable AI solutions with measurable ROI.

• Manage project delivery: scope definition, technical roadmaps, and deployment risk mitigation.

• Ensure robust deployment in constrained/edge environments (latency, hardware, lighting variability, data drift, dirty environments, etc.).

• Stay current with advancements in industrial AI, vision models, and deployment frameworks, and guide technology selection.

Core Qualifications:

• Strong background in deep learning (e.g., CNNs, transformers, detection/segmentation models).

• Excellent communication skills in French and English (The position requires regular interaction with colleagues, suppliers and customers based outside of Quebec, nationally and internationally).

• Experience deploying AI systems in production, ideally in industrial or manufacturing settings.

• Proficiency with relevant stacks (Python, PyTorch/TensorFlow, OpenCV, edge deployment frameworks).

• Solid understanding of MLOps, data pipelines, and system integration (APIs, PLCs, MES/SCADA systems).

• Proven leadership experience managing highly technical teams and delivering complex projects.

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 - 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.