Agent Based Modeling Jobs in Quebec (NOW HIRING)

Having recognized the advantages of remote work, including employee morale, productivity, reduced commuting on employee wellbeing and the environment, we are proud to be a digital-first company. The technologies and programs in which we invested have provided a fantastic foundation to this end. Our digital-first work environment, together with our conveniently located offices and collaborative workspaces, provide our team with the freedom and flexibility to work in the way that makes our employees most productive.

Tecsys is a fast-growing innovator offering supply chain solutions to industry leading healthcare systems, hospitals, and pharmacy businesses to distributors, retailers, and 3PLs. We work with industry leaders to transform their supply chains through technology. If you thrive on tackling interesting challenges with continuous learning opportunities, then Tescys could be a good fit for you!

Our P&T team is leveraging Operations Research and AI/ML-based technologies to build  the next-generation Supply Chain solutions. We have a pragmatic down-to-earth philosophy of using AI to solve concrete warehousing, distribution, transportation and supply management challenges and we are currently looking for a Senior AI / ML Developer to join the team and help us spear-head AI, ML, Data-science and Operations Research initiatives to recommend actionable business insight in various supply chain use-cases. 

You will be the resident AI expert and will work closely with development teams to spearhead the development of features, providing actionable business insights to our customers and end-users, and allowing them to manage their operations more efficiently.

You will identify, coordinate, and develop Data Science solutions to build predictive/prescriptive models, design AI/ML/agentic solutions that use data pipelines to solve supply chain problems. You will also contribute to the design and development of production-grade AI systems, including LLM-powered features, retrieval-augmented generation (RAG) pipelines, and multi-step agent workflows. You will help translate experimental AI capabilities into reliable, scalable, and measurable product features.

Although deploying and governing the end-to-end cycles of solutions is not your primary responsibility, you will help with the process, especially developing tools to assess the efficacy of the models.

Requirements

       You have a graduate degree in Computer Science, or in related disciplines: e.g. Engineering, Physics, Applied Mathematics and Statistics.

       You have proven experience in converting business problems to their mathematical representations to feed AI/ML algorithms.

       You are an expert Pythonista with proven experience in using supervized, unsupervised and semi-supervized Machine Learning solutions.

       You know Statistical Models, Optimization and Mathematical Programming (OR), Meta-heuristics, Deep Reinforcement Learning and how to put them to work to create business value.

       You have hands-on experience designing and implementing modern AI systems, including LLM-based applications, prompt engineering, and retrieval-based systems.

       You understand how to evaluate and monitor AI systems, including defining metrics for accuracy, grounding, and performance over time.

       You are familiar with the Data Science ecosystem (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, etc.).

       You have solid experience in using Cloud-based AI/ML solutions (like AWS, Azure, GC)

       You can clearly communicate technical concepts to cross-functional teams, including management and non-technical stakeholders.

       You have been developing AI/ML based python solutions for at least 5-7 years

       Experience designing and deploying production AI systems (e.g., APIs, microservices, or agent-based systems)

       Familiarity with LLM orchestration frameworks (e.g., LangChain, LangGraph) and vector databases

       Experience with MLOps practices, including model/version management, evaluation pipelines, and monitoring

       Strong understanding of trade-offs in AI systems (accuracy vs latency vs cost)

       You have a solid background in Supply Chain Management

       Bilingual

Could this be the life-changing, skill and career building opportunity you've been waiting for?  Don't be left wondering about what could have been.  This is a growth-oriented position in an elite organization that respects and values key contributors.  Act now and submit your resume.

 We understand that experience comes in many forms and that careers are not always linear. If you don't meet every requirement in this posting, we still encourage you to apply.

At Tecsys, we are committed to fostering a diverse and inclusive workplace where all employees feel valued, respected, and empowered. We believe that diversity drives innovation and strengthens our ability to deliver exceptional solutions. We welcome and encourage applicants from all backgrounds, experiences, and perspectives to join our team.

Tecsys is an equal opportunity employer. Accommodation is available for applicants selected for an interview.

NB: if you are applying to this position, you must be a Canadian Citizen or a Permanent Resident of Canada, OR, have a valid Canadian work permit.

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A Note on Our Hiring Process: We do not use AI to automatically screen or reject candidates. However, we do use specific screening questions to prioritize the most relevant applications for human review.
At Tecsys, we welcome the thoughtful use of AI tools to help you prepare your application, for example, to improve clarity, organize your resume, or practice interview responses. However, we ask that all information you provide reflects your real experience, and that any assessments or written submissions represent your own work and thinking.

During interviews, we expect candidates to engage without the use of AI tools, scripts, or real-time assistance. Authentic, direct conversation helps us get to know how you think, collaborate, and communicate. AI can support your preparation, but it shouldn't speak or act on your behalf. We genuinely want to meet you.