ZipRecruiter

Log In

1

Physics Informed Machine Learning Jobs in Quebec

Spring Health

... tech-enabled, AI/machine-learning platform that puts patient outcomes first. What You'll Do ... informed of client progress or challenges. * You like working independently, but would also enjoy ...

Vention

Fulfillment Supervisor

Montreal, QC · Hybrid

Our technology powers over 25,000 machines across 4,000 factories across 5 continents and we have ... learning fast, and seeing the results of our efforts every day. We move quickly and aim high, but ...

Alteo

IT Support Analyst [#4927]

Montreal, QC

This is a great opportunity for someone who enjoys solving problems, learning new tools, and taking ... Monitor and manage support tickets, keeping users informed and ensuring timely resolution. * Create ...

Alteo

IT Support Analyst [#4927]

Montreal, QC

This is a great opportunity for someone who enjoys solving problems, learning new tools, and taking ... Monitor and manage support tickets, keeping users informed and ensuring timely resolution. * Create ...

next page

Showing results 1-20

All JobsPhysics Informed Machine Learning JobsPhysics Informed Machine Learning Jobs in Quebec

Physics Informed Machine Learning information

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are popular job titles related to Physics Informed Machine Learning jobs in Quebec? For Physics Informed Machine Learning jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Quebec look for? The top searched job categories for Physics Informed Machine Learning jobs in Quebec are:
Physics Informed Machine Learning jobs near you
Product Manager - Operational Technology

Product Manager - Operational Technology

AspenTech

Montreal, QC

Full-time

Posted 11 days ago

AspenTech rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

67th of 191 rated software companies

Job description

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways - from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.

The RoleWe are seeking results-driven product manager to help define and drive the product strategy for our Enterprise Operations Platform (EOP). This role demands a strategic thinker with deep product management experience, technical fluency in industrial automation, and a passion for transforming operational data into actionable intelligence. The ideal candidate will champion the use of AI, semantic modeling, and data contextualization to unlock the full value of OT data across diverse automation systems.Your Impact
  • Strategic Vision:
  • Develop and execute a product strategy that integrates AI-driven data contextualization and semantic modeling into the EOP roadmap.
  • Champion the foundational Data Fabric, enabling scalable ingestion, harmonization, and semantic enrichment of OT data.
  • Drive adoption of knowledge graphs and ontologies to unify data across disparate automation systems and domains.
  • Evangelize the strategic role of contextualized data in enabling predictive analytics, autonomous workflows, and digital twins.
  • Represent the platform's vision in internal and external forums, positioning the company as a thought leader in intelligent operations.
  • Product Management:
  • Lead innovation initiatives focused on transforming raw industrial data into contextualized, actionable insights using AI and semantic technologies.
  • Monitor market trends in AI, data fabrics, and industrial knowledge graphs to ensure competitive differentiation.
  • Guide the development of intelligent data services (e.g., semantic search, anomaly detection, root cause analysis) powered by machine learning.
  • Develop product roadmaps that incorporate semantic interoperability, data lineage, and explainability.
  • Stakeholder Management:
  • Foster collaboration between product management and R&D to deliver intelligent, scalable solutions.
  • Engage with customers and partners to co-develop ontologies and contextual models tailored to industry-specific needs.
  • Qualifications & Experience:
  • Proven leadership in product management with a focus on data platforms, AI, or industrial software.
  • Deep understanding of OT-data domains, industrial automation systems, and data contextualization challenges.
  • Experience with semantic technologies and knowledge graph architectures.
  • Familiarity with AI/ML techniques for time-series analysis, anomaly detection, and predictive modeling.
  • Core Competencies:
  • Customer Centricity: Designs products that deliver contextualized insights and real-world value.
  • Visionary Thinking: Inspires teams around a future of intelligent, autonomous operations.
  • Innovation Leadership: Prioritizes semantic modeling and AI as core differentiators.
  • Results Orientation: Aligns data intelligence initiatives with business outcomes.
  • Strategic Acumen: Navigates complex data ecosystems with clarity and foresight.
  • Decisive Execution: Makes informed decisions grounded in data and domain expertise.
What You'll Need
  • 5+ years of demonstrated skills in product management.
  • Experience in the Process Industries will be a strong advantage.
  • BS in Chemical/Mechanical Engineering/Electrical Engineering required. MBA/Advanced degree (or global equivalent) in a related field preferred.
  • Language requirement: French: A1 (advanced) and English level C1 (advanced), the position requires interactions with international client.
  • Experience of cloud-based as well as on-prem technologies.
  • Experience with AI also an advantage.
  • Strong individual initiative and ownership, driven to achieve results, and motivated by impact. Extremely well organized, detail-oriented, metrics driven, and possessing a high level of integrity.
  • Demonstrated business acumen and industry insights to assess the tradeoffs across technology, operations, process, people, cost, and industry for solutions.
  • Strong sense of teamwork and collaboration, particularly cross-organizationally and cross-functionally in a matrix organization.
  • Business travel of approximately 20 percent yearly is expected for this position.
#LI-DW1

Apply