375 AI Ml Engineer jobs in Canada
AI/ML Engineer
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Job Description
Salary: $90,000
Franais ci-dessous
Summary
Were seeking an experienced and innovative AI/ML Engineer to drive AI transformation at Nimonik.
In this role, you will design, develop, and implement AI solutions (such as various classification solutions, agentic systems, search tools, and chatbots) to leverage Nimoniks extensive regulatory and standards database.
If you have a strong background in AI development, strong programming skills, and a passion for solving problems, this is a perfect opportunity to have fun, experiment with latest technology and deliver great AI solutions that make a difference!
Responsibilities
- Collaborate with various teams to define business requirements
- Serve as a technical center of excellence for AI and ML initiatives
- Design, develop, and deploy AI solutions in production using traditional ML models, RAG + LLMs, fine-tuned LLMs, and agentic systems
- Identify data collection and annotation needs, and ensure datasets are properly prepared for training and fine-tuning models
- Evaluate and benchmark AI models using appropriate performance metrics for accuracy, efficiency, and business relevance
- Collaborate with software engineers to integrate AI applications into Nimoniks platform.
- Stay up to date with the latest advancements in AI, experiment and apply them
- Document code, methodologies, and experiments, and contribute to the knowledge sharing within the team
- Participate in SR&ED reporting.
Requirements
- 3+ years of relevant experience in AI software development and machine learning engineering, including experience with:
- Cloud platforms (preferably, AWS and its services like Amazon Bedrock, SageMaker, Lambda, OpenSearch etc.)
- SQL (e.g., PostgreSQL)
- API development (FastAPI, Flask, etc.)
- ML tools such as PyTorch, Tensorflow, HuggingFace, etc.
- Training, fine-tuning, evaluating, and deploying BERT and similar transformer-based models
- Open source and proprietary LLMs such as Claude, GPTs, and Qwen
- Open source and proprietary vector databases such as OpenSearch, Weaviate and Pinecone
- Implementation of RAG pipelines using LangChain or similar frameworks
- MCP and agentic LLM systems
- Deployment of AI applications with a focus on data privacy and security.
- Excellent skills in Python software development
- Ability to think out of the box, design AI solutions based on the newest technology, and deliver the results.
Will be a plus:
- A degree in Machine Learning, Artificial Intelligence, Computer Science, Software Engineering, or a related field
- Knowledge of the legal and compliance field
- Skills and experience in front-end development
- Experience with search engines.
Hiring Process
- 20-minute screening call
- Code test
- General interview.
About the position
- 37.5 hours work week
- Office in Montrals Mile End, with an option to work from home (hybrid to start and remote possible further)
- Flexible work schedule
- Competitive salary
- Other benefits such as:
- Health insurance
- Three weeks paid vacation to start
- Paid Fridays off in July
- Paid extended Christmas break
- Family-friendly policies
- Great office coffee
This position is permanent, with a three-month probation period before being eligible for full benefits.
About Us
We are a fast-growing B2B SaaS company that offers cutting-edge compliance software to mid and large companies around the world. Our mission is to help our clients achieve and maintain compliance with ease, while improving their operational efficiency.
If you are a strategic and results-driven person with a passion for innovation, and you want to make a difference in the compliance software industry, we want to hear from you!
Rsum
Nous sommes la recherche dun(e) Ingnieur(e) IA/ML expriment(e) et innovant(e) pour mener la transformation IA chez Nimonik.
Dans ce rle, vous concevrez, dvelopperez et mettrez en uvre des solutions dintelligence artificielle (telles que des systmes de classification, des agents intelligents, des outils de recherche et des chatbots) afin de tirer parti de la vaste base de donnes rglementaires et normatives de Nimonik.
Si vous avez une solide exprience en dveloppement IA, de fortes comptences en programmation, et une passion pour la rsolution de problmes, cest loccasion idale de vous amuser, dexprimenter les dernires technologies et de livrer des solutions IA percutantes qui font rellement la diffrence!
Responsabilits
- Collaborer avec diverses quipes pour dfinir les besoins mtier
- Servir de centre dexcellence technique pour les initiatives en intelligence artificielle et en apprentissage automatique
- Concevoir, dvelopper et dployer en production des solutions dIA utilisant des modles classiques de ML, des approches RAG combines aux LLM, des LLM ajusts (fine-tuning) et des systmes agentiques
- Identifier les besoins en matire de collecte et dannotation de donnes, et veiller ce que les ensembles de donnes soient correctement prpars pour lentranement et lajustement des modles
- valuer et comparer les modles dIA laide de mtriques pertinentes pour mesurer leur prcision, leur efficacit et leur pertinence mtier
- Collaborer avec les ingnieurs logiciels pour intgrer les applications dIA la plateforme de Nimonik
- Se tenir jour des dernires avances en IA, exprimenter et les appliquer
- Documenter le code, les mthodologies et les expriences, et contribuer au partage des connaissances au sein de lquipe
- Participer la rdaction des rapports RS&DE
Exigences
- 3+ ans dexprience pertinente en dveloppement logiciel IA et en ingnierie de lapprentissage automatique, incluant une exprience avec:
- Les plateformes infonuagiques (de prfrence AWS et ses services comme Amazon Bedrock, SageMaker, Lambda, OpenSearch, etc.)
- SQL (ex.: PostgreSQL)
- Le dveloppement dAPI (FastAPI, Flask, etc.)
- Les outils de ML tels que PyTorch, TensorFlow, HuggingFace, etc.
- Lentranement, lajustement (fine-tuning), lvaluation et le dploiement de modles de type BERT et autres modles bass sur des transformeurs
- Les LLM open source et propritaires tels que Claude, les GPT et Qwen
- Les bases de donnes vectorielles open source et propritaires telles quOpenSearch, Weaviate et Pinecone
- La mise en uvre de pipelines RAG laide de LangChain ou de cadres similaires
- MCP et les systmes LLM agentiques
- Le dploiement dapplications IA avec une attention particulire la confidentialit et la scurit des donnes
- Excellentes comptences en dveloppement Python
- Capacit sortir des sentiers battus, concevoir des solutions dIA bases sur les technologies les plus rcentes, et livrer des rsultats concrets.
Atouts
- Diplme en ML, intelligence artificielle, informatique, gnie logiciel ou domaine connexe
- Connaissance du domaine juridique et de la conformit
- Comptences et exprience en dveloppement front-end
- Exprience avec les moteurs de recherche
Processus dembauche
- Entretien tlphonique de prslection de 20 minutes
- Test de codage
- Entretien gnral
propos du poste
- Semaine de travail de 37,5 heures
- Bureau situ dans le Mile End Montral, avec possibilit de tltravail (modle hybride au dpart, avec option de travail distance complet par la suite)
- Horaire de travail flexible
- Salaire concurrentiel
- Autres avantages, notamment:
- Assurance sant
- Trois semaines de vacances payes ds lentre en poste
- Vendredis pays en cong durant le mois de juillet
- Cong prolong et pay pendant la priode des Nol
- Politiques favorables la vie de famille
- Excellent caf au bureau
Ce poste est permanent, avec une priode de probation de trois mois avant dtre admissible lensemble des avantages.
propos de nous
Nous sommes une entreprise SaaS B2B en forte croissance qui offre des solutions logicielles de conformit de pointe aux moyennes et grandes entreprises travers le monde. Notre mission est daider nos clients atteindre et maintenir la conformit en toute simplicit, tout en amliorant leur efficacit oprationnelle.
Si vous tes une personne stratgique, axe sur les rsultats, passionne par linnovation et dsireuse de faire une relle diffrence dans lindustrie des logiciels de conformit, nous voulons vous entendre!
AI-ML Engineer
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Job Description
We are hiring for an AI-ML Engineer to join our growing team at Ampliphi in Toronto!
As an AI Engineer at Ampliphi, you will be at the heart of building the intelligence that powers our pricing platform. This is a hands-on, product-driven role where you’ll work across the stack and directly influence how hotels use data to make smarter pricing decisions.
Ampliphi is an intelligent pricing and revenue optimization platform transforming how hotels manage rates. We leverage AI, real-time competitive set monitoring, and automated distribution to drive both revenue and operational efficiency. Our roadmap includes the deep productization of pricing strategies, explainable AI, and portfolio-level insights, and we’re looking for a senior engineer who wants to help build and shape the product, not just ship code.
Ampliphi is an AI-powered revenue management solution for Smarter Hotel Pricing. Our AI-driven solutions are designed and built to optimize pricing, boost profitability, and simplify operations effortlessly.
At Ampliphi, we are a team of passionate tech experts, seasoned industry professionals, and experienced hoteliers who have come together to tackle the revenue management challenges faced by hotels. By combining deep industry knowledge with innovative technology, Ampliphi is designed to help hotels optimize pricing, increase profitability, and streamline operations.
Our goal is simple: to make revenue management easier, more efficient, more affordable and more impactful for hotels of all sizes. We understand the complexities of the hotel industry and are dedicated to providing solutions that not only simplify pricing decisions but also drive real, measurable results for your business.
Ampliphi is a fast growing next-generation revenue management solution (RMS) designed to empower hotel’s revenue manager with data-driven pricing, forecasting, and yield optimization capabilities. Our platform leverages advanced AI, predictive analytics, and real-time market insights to help clients maximize profitability and streamline operations. As part of Valsoft, Ampliphi is backed by strong industry experts and partners, we're scaling quickly and looking for agile, ambitious team members to help build the future of hospitality tech.
The successful candidate will be based anywhere within commutable distance of our office in Toronto, working in a hybrid work model!
What your day will look like :
- Own and deliver core Ampliphi product features, from backend architecture to frontend execution
- Work closely with product teams to build user-centric, data-driven experiences
- Integrate with external systems like PMS, OTAs, and channel manager gateways to enrich our pricing ecosystem
- Design, build, and enhance the AI and rules engine that powers pricing recommendations, explainability, and automated strategies
- Contribute to system architecture, evolving our modular, scalable microservice design
- Mentor mid-level developers and influence team best practices to ensure code quality and scalability
About You :
Tech Stacks You’ll Work With:
- Backend: Python (FastAPI), PostgreSQL, async processing, containerized services (Docker, ECS/Fargate)
- Frontend: React (with TypeScript), Tailwind, Recharts, Next.js
- Infrastructure: AWS (Fargate, Lambda, RDS, S3), CloudWatch, API Gateway
- DevOps & Tooling: GitHub Actions, Terraform (infra-as-code), feature flags
- Integrations: Third-party data providers and hotel tech systems
- Data Layer: Pricing strategy rules engine, competitive set analytics, AI inference services
What We’re Looking For:
- 5+ years of full-stack development experience in a fast-moving product environment
- Deep experience with Python-based APIs (FastAPI preferred) and React-based UIs
- Proven track record of building AI-powered product features (pricing, optimization, or machine learning pipelines)
- Strong understanding of modular system design, async jobs, and data flow between services
- Experience working in AWS-native environments (Fargate, RDS, ECS, etc.)
- Strong appreciation for clean UI/UX, thoughtful APIs, and maintainable code
- Ability to collaborate with product and weigh trade-offs between scalability, speed, and usability
- Interest in working on pricing, optimization, and AI-powered workflows
- Product-first mindset – you care deeply about how users experience the system
- Strong organizational and time management skills
- A passion for innovation, technology, and modernizing outdated processes
- Self-motivated, goal-oriented, and comfortable with autonomy
- Ability to work independently and collaboratively within a team
- Quick learner with the ability to absorb industry knowledge and adapt in a fast-paced environment
- Fluent in English, both written and verbal, is essential
- Legally authorized to work in Canada
For information about Amplify RMS, please visit our website at
We thank all applicants for their interest; however, only those candidates selected for an interview will be contacted.
AI/ML Engineer
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Job Description
AI/ML Engineer
Location: Ottawa, ON | Hybrid
Department: Engineering
Reports To: Eugenia Kondratova
Type: Permanent | Full-Time
At Solink, our mission is to safeguard what matters most . We provide businesses with the tools to know sooner and act faster by transforming video security into real-time operational insights.
Our cloud-based platform integrates seamlessly with your existing cameras and systems, turning them into intelligent sensors that detect and interpret key moments. This empowers teams to make data-driven decisions, enhance security, and improve operational efficiency.
Trusted by over 30,000 locations across 32+ countries - including brands like McDonald’s and JYSK - Solink delivers clarity when it counts. Our solutions help businesses reduce shrink, optimize performance, and respond proactively to potential threats.
We're growing rapidly, earning industry recognition, and scaling with purpose. We’ve been recognized by Deloitte’s Fast 50™ and Fast 500™, Business Intelligence Group, and as one of Ottawa’s Best Places to Work. And we’re just getting started!
The RoleAs an AI/ML Engineer , you’ll play a hands-on role in solving meaningful problems, driving outcomes, and contributing directly to Solink’s growth. You'll collaborate across product, customer support and engineering teams and be trusted to take ownership—because we believe great ideas come from everywhere. This is an opportunity for someone who’s energized by challenge, fast learning, and making a real impact.
What You’ll DoDesign, develop, train and deploy computer vision and machine learning models (VLM & CNN) both in the cloud and at the edge.
Ensure that the models are accurate, efficient and predictably evolving through automated MLOps workflows and validation techniques.
Collaborate with engineering and product teams to define model requirements, based on customer use cases and bring models from research to production.
Participate in the full software development life cycle of features that leverage ML - including search, summarization, and insight generation across video and transaction data.
Create tools and develop agentic workflows that solve key customer pain points, while ensuring proper guardrails and ease of use.
Monitor and optimize ML model performance, scalability, and reliability in real-world high traffic and high data volume environments.
Stay on top of the latest research and techniques in computer vision, generative AI, and large language models to continuously improve our technology stack.
Must-Have:
2-3 years of experience of integrating ML Solutions into SaaS Enterprise applications.
Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
Experience developing and deploying computer vision models for the purposes of object detection, classification, and or video analysis.
Experience working with or fine-tuning large language models (LLMs) or vision language models (VLMs) like GPT, Llama, or similar.
Familiarity with machine learning pipelines , data preprocessing, and working with large datasets.
Interest and a passion for developing complete customer solutions, from design to automated testing.
Nice-to-Have:
Experience with optimization of memory and processor heavy computation at the edge.
Experience with C++ or Rust.
Experience with JavaScript or TypeScript.
Familiarity with MLOps tools and practices (e.g., model serving, monitoring, retraining).
Candidates must undergo a criminal records check upon hire;
Be a Canadian Citizen (dual citizens included), or eligible to work in Canada;
Be willing to comply with Solink’s own security policies and standards.
We do things the Solink way:
Act with URGENCY – Our customers move fast, so we do too.
Deliver with QUALITY – We sweat the details and hold a high bar.
Win with TEAM – No egos. Just outcomes, built together.
Lead with TRUST – We earn it through clarity, consistency, and care.
These aren’t just words—they shape how we hire, lead, and grow.
Why Solink?We’re not just building tech - we’re building a place where great people do great work.
Clarity and trust : Where the role allows, we support flexibility in how and where work gets done - and we’re upfront about what’s required.
Meaningful equity : Every full-time, permanent employee has a stake in our growth.
Comprehensive benefits : Fully paid health & dental (no waiting period) + $500 health spending account.
Wellness support : Monthly reimbursement for fitness, wellness, or mental health programs.
Growth through merit : Advancement is based on contribution, initiative, and the ability to raise the bar - together.
Candid culture : Clear expectations, honest feedback, and no politics.
Social connection : From So-learns to Solink-o and So-lunches, we stay connected in ways that actually feel fun.
We respect your time and value transparency. Here’s a general idea of what to expect:
Intro call with our Talent Team
Interview with the Hiring Manager
Role-relevant task or case (if applicable)
Final interviews with cross-functional team members
Offer & onboarding
Submit your resume and a short cover letter via our (Careers Page). Let us know what excites you about this role, and how you’d help move Solink forward.
Solink is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive workplace. If you require accommodation during the selection process, please let us know.#LI-CAN
AI-ML Engineer
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Job Description
We are hiring for an AI-ML Engineer to join our growing team at Ampliphi in Montreal!
As an AI Engineer at Ampliphi, you will be at the heart of building the intelligence that powers our pricing platform. This is a hands-on, product-driven role where you’ll work across the stack and directly influence how hotels use data to make smarter pricing decisions.
Ampliphi is an intelligent pricing and revenue optimization platform transforming how hotels manage rates. We leverage AI, real-time competitive set monitoring, and automated distribution to drive both revenue and operational efficiency. Our roadmap includes the deep productization of pricing strategies, explainable AI, and portfolio-level insights, and we’re looking for a senior engineer who wants to help build and shape the product, not just ship code.
Ampliphi is an AI-powered revenue management solution for Smarter Hotel Pricing. Our AI-driven solutions are designed and built to optimize pricing, boost profitability, and simplify operations effortlessly.
At Ampliphi, we are a team of passionate tech experts, seasoned industry professionals, and experienced hoteliers who have come together to tackle the revenue management challenges faced by hotels. By combining deep industry knowledge with innovative technology, Ampliphi is designed to help hotels optimize pricing, increase profitability, and streamline operations.
Our goal is simple: to make revenue management easier, more efficient, more affordable and more impactful for hotels of all sizes. We understand the complexities of the hotel industry and are dedicated to providing solutions that not only simplify pricing decisions but also drive real, measurable results for your business.
Ampliphi is a fast growing next-generation revenue management solution (RMS) designed to empower hotel’s revenue manager with data-driven pricing, forecasting, and yield optimization capabilities. Our platform leverages advanced AI, predictive analytics, and real-time market insights to help clients maximize profitability and streamline operations. As part of Valsoft, Ampliphi is backed by strong industry experts and partners, we're scaling quickly and looking for agile, ambitious team members to help build the future of hospitality tech.
The successful candidate will be based anywhere within commutable distance of our office in Saint-Laurent, Montreal, working in a hybrid work model!
What your day will look like :
- Own and deliver core Ampliphi product features, from backend architecture to frontend execution
- Work closely with product teams to build user-centric, data-driven experiences
- Integrate with external systems like PMS, OTAs, and channel manager gateways to enrich our pricing ecosystem
- Design, build, and enhance the AI and rules engine that powers pricing recommendations, explainability, and automated strategies
- Contribute to system architecture, evolving our modular, scalable microservice design
- Mentor mid-level developers and influence team best practices to ensure code quality and scalability
About You :
Tech Stacks You’ll Work With:
- Backend: Python (FastAPI), PostgreSQL, async processing, containerized services (Docker, ECS/Fargate)
- Frontend: React (with TypeScript), Tailwind, Recharts, Next.js
- Infrastructure: AWS (Fargate, Lambda, RDS, S3), CloudWatch, API Gateway
- DevOps & Tooling: GitHub Actions, Terraform (infra-as-code), feature flags
- Integrations: Third-party data providers and hotel tech systems
- Data Layer: Pricing strategy rules engine, competitive set analytics, AI inference services
What We’re Looking For:
- 5+ years of full-stack development experience in a fast-moving product environment
- Deep experience with Python-based APIs (FastAPI preferred) and React-based UIs
- Proven track record of building AI-powered product features (pricing, optimization, or machine learning pipelines)
- Strong understanding of modular system design, async jobs, and data flow between services
- Experience working in AWS-native environments (Fargate, RDS, ECS, etc.)
- Strong appreciation for clean UI/UX, thoughtful APIs, and maintainable code
- Ability to collaborate with product and weigh trade-offs between scalability, speed, and usability
- Interest in working on pricing, optimization, and AI-powered workflows
- Product-first mindset – you care deeply about how users experience the system
- Strong organizational and time management skills
- A passion for innovation, technology, and modernizing outdated processes
- Self-motivated, goal-oriented, and comfortable with autonomy
- Ability to work independently and collaboratively within a team
- Quick learner with the ability to absorb industry knowledge and adapt in a fast-paced environment
- Fluent in English, both written and verbal, is essential
- Legally authorized to work in Canada
For information about Amplify RMS, please visit our website at
We thank all applicants for their interest; however, only those candidates selected for an interview will be contacted.
Senior AI/ML Engineer
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Job Description
Salary: 160,000 - 200,000 CAD
Ready to help reshape a $26B industry and build the future of branded merch?
commonsku is revolutionizing the promotional products industry. Our platform empowers branded merch distributors to work smarter managing projects, building quotes, placing orders, and collaborating with clients and suppliers seamlessly through the power of the Connected Workflow.
Were a remote-first, community-driven team obsessed with elevating our customers, their clients, and the broader industry. Our values Community First, Ten Steps Ahead, Fast Forward, and Delightful Work guide us. We believe you can innovate, push forward, and do more, while also sharing a laugh, supporting your colleagues, and having a life outside of work.
If youre energized by ambitious work, creative collaboration, and helping to build something great, youll want to keep reading.
About the Role: AI/ML Engineer
Were growing - and were hiring our first AI/ML Engineer to join our Engineering team! In this role, youll help us develop AI-powered features and infrastructure within the commonsku platform that improve how our customers search, analyze, and act on their data with the goal of supercharging their workflow and making their work more delightful!
This role is ideal for someone who brings deep hands-on experience in applied machine learning - especially in areas like LLMs, RAG pipelines, and generative AI - and enjoys building useful, elegant features for real-world users. Weve been actively building POCs for a MCP-powered chat interface that gives distributors real-time insights into their data, and experimenting with generative image tools that let customers instantly visualize and customize products. Youll work closely with our Product, Design, and Engineering teams to take these POCs from customer validation to production and continue to innovate on new concepts and ideas.
Youll collaborate closely with teammates across Engineering, Product, and Design, elevate the AI knowledge of the entire Engineering team, contribute to a high-trust environment, and play a direct role in shaping the future of the industry.
About You
Youre not just looking for a job youre looking for a place to do your best work. You bring:
- A community mindset You see customers as partners and coworkers as collaborators. You lift others up, always follow through on your commitments, and thrive in a team that does the same. (Community First)
- Momentum and ownership You act with optimism, take initiative, and turn ideas into results. You move fast and bring others with you. (Fast Forward)
- Vision and boldness You dont just react you anticipate. You think big, challenge the status quo, and push the work (and the industry) forward. (Ten Steps Ahead)
- Joy in the craft You care deeply about what you build and how it makes people feel. You bring thoughtfulness, transparency, and a sparkling sense of humour to the table. (Delightful Work)
About The Technology
We are in the midst of modernizing our technology and infrastructure to support our growing business and user base. Our current stack involves PHP, Python, and React. Our data is stored in MySQL (RDS) and infrastructure is in AWS. We are migrating to an architecture that uses Aurora, ECS Fargate with docker based container deployment and setting up a data warehouse in Snowflake. Our current AI features and POCs are built using OpenAI, Claude, and other API based solutions for image generation.
What Youll Do
- Design, implement, and ship AI features that power intelligent recommendations, predictive analytics, and agent-assisted workflows.
- Influence both the modernization of our legacy stack and the architecture of next-generation AI tools.
- Collaborate with a team that includes engineers, Product Manager and Engineering manager to build proof of concepts to validate ideas.
- Evaluate third-party AI tools, models, and platforms (e.g., OpenAI, Hugging Face, Amazon Bedrock, Claude) to identify the best-fit solutions for commonskus needs.
- Once ideas are validated, lead architecture and integration of AI systems into the platform in ways that are scalable, performant, and maintainable.
- Write clean, maintainable, well-tested code and model strong development practices.
- Mentor other engineers by sharing ML/AI expertise through pairing, feedback, and technical reviews.
- Help define best practices for ML development, testing, observability, and monitoring.
- Participate in team ceremonies, design reviews, and technical discussions with clarity and curiosity.
- Champion customer impact in technical decision-making using data and feedback to guide prioritization and tradeoffs.
- Be part of an established scale-up environment where your technical decisions shape the roadmap and your work drives visible change across an industry.
What You Bring
Some of the qualities that help you thrive in this role:
- 5+ years of professional software development experience, with at least 2+ years focused on applied AI/ML development in production systems.
- Deep experience with Python, particularly for building and deploying ML/AI-powered applications.
- Experience building solutions with modern ML platforms and techniques such as:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) pipelines
- Generative AI applications
- Experience working with cloud infrastructure and tooling for ML (e.g., AWS Bedrock, LangChain, Arize, etc.).
- Strong understanding of model evaluation, data pipelines, and API design.
- Comfort with evaluating tradeoffs between build vs. buy and balancing technical depth with product needs.
- Proven ability to mentor others and share knowledge constructively.
- Curious, collaborative, and energized by building impactful solutions that customers love.
- And familiarity with commonskus core technologies (PHP, React) is a plus!
Compensation & Perks
We believe in fair, transparent compensation. Starting salary for this role is $60,000 200,000 CAD, depending on previous experience and skillset. New hires are expected to come in at the midpoint of this range. However, if this role sounds perfect for you and your expectations are outside of this range, we encourage you to apply and let us know in your application about your ideal package. If we agree that its a good fit, we will have open discussion around whats possible.
Plus:
- Remote-first culture (with plenty of excellent in-person experiences sprinkled in)
- Company-wide closure between December 25th and January 1st
- Health and dental benefits, including a 1,000 healthcare spending account
- RRSP/TFSA contributions up to 3,000 a year (no employee contribution required!)
- Twice-yearly company wide summits (we call it HQ and youll love it)
- A delightful team of smart people who are good at what they do
Location
This role is open to candidates eligible to work in Canada, with the exception of Quebec (were not set up to operate there yet dsol!).
Were remote-first, but if youre based in Toronto, even better. Thats where we were founded and where we maintain our HQ today!
A Bit More About Us
commonsku supports hundreds of promotional products distributors and suppliers with technology that drive efficiency, growth, and connection. Our skummunity (commonsku + community = skummunity, get it?) is powered by events, education, and shared knowledge and is core to who we are.
Weve grown by being for promo by promo and now, were scaling our impact to elevating an entire industry. Wed love your help doing it.
A Note About AI
We use AI every day at commonsku to be faster and better. If you use AI tools to help you draft your resume or cover letter, thats totally fine just make sure what you submit reflects you. We want to hear your authentic voice, not ChatGPTs.
How to Apply
If this role feels like a fit, apply now at
We try our level best to review and respond to every application we receive. So, once youve applied, wait to hear from a member of our People team with an update. If it looks like a good fit, expect a phone interview as the first step.
By the way, you dont need to meet 100% of the requirements we value potential, learning, and diversity of thought. Tell us why you're excited, and lets chat.
commonsku is an Equal Opportunity Employer
Were committed to building a diverse team that reflects the skummunity we serve. We welcome applicants of all backgrounds, experiences, and identities.
Mid-Level AI/ML Engineer
Posted today
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Job Description
Salary:
Franais ci-dessous
Summary
Were seeking an experienced and innovative AI/ML Engineer to drive AI transformation at Nimonik.
In this role, you will design, develop, and implement AI solutions (such as various classification solutions, agentic systems, search tools, and chatbots) to leverage Nimoniks extensive regulatory and standards database.
If you have a strong background in AI development, strong programming skills, and a passion for solving problems, this is a perfect opportunity to have fun, experiment with latest technology and deliver great AI solutions that make a difference!
Responsibilities
- Collaborate with various teams to define business requirements
- Serve as a technical center of excellence for AI and ML initiatives
- Design, develop, and deploy AI solutions in production using traditional ML models, RAG + LLMs, fine-tuned LLMs, and agentic systems
- Identify data collection and annotation needs, and ensure datasets are properly prepared for training and fine-tuning models
- Evaluate and benchmark AI models using appropriate performance metrics for accuracy, efficiency, and business relevance
- Collaborate with software engineers to integrate AI applications into Nimoniks platform.
- Stay up to date with the latest advancements in AI, experiment and apply them
- Document code, methodologies, and experiments, and contribute to the knowledge sharing within the team
- Participate in SR&ED reporting.
Requirements
- 1+ years of relevant experience in AI software development and machine learning engineering, including experience with:
- Cloud platforms (preferably, AWS and its services like Amazon Bedrock, SageMaker, Lambda, OpenSearch etc.)
- SQL (e.g., PostgreSQL)
- API development (FastAPI, Flask, etc.)
- ML tools such as PyTorch, Tensorflow, HuggingFace, etc.
- Training, fine-tuning, evaluating, and deploying BERT and similar transformer-based models
- Open source and proprietary LLMs such as Claude, GPTs, and Qwen
- Open source and proprietary vector databases such as OpenSearch, Weaviate and Pinecone
- Implementation of RAG pipelines using LangChain or similar frameworks
- MCP and agentic LLM systems
- Deployment of AI applications with a focus on data privacy and security.
- Excellent skills in Python software development
- Ability to think out of the box, design AI solutions based on the newest technology, and deliver the results.
Will be a plus:
- A degree in Machine Learning, Artificial Intelligence, Computer Science, Software Engineering, or a related field
- Knowledge of the legal and compliance field
- Skills and experience in front-end development
- Experience with search engines.
Hiring Process
- 20-minute screening call
- Code test
- General interview.
About the position
- 37.5 hours work week
- Office in Montrals Mile End, with an option to work from home (hybrid to start and remote possible further)
- Flexible work schedule
- Competitive salary
- Other benefits such as:
- Health insurance
- Three weeks paid vacation to start
- Paid Fridays off in July
- Paid extended Christmas break
- Family-friendly policies
- Great office coffee
This position is permanent, with a three-month probation period before being eligible for full benefits.
About Us
We are a fast-growing B2B SaaS company that offers cutting-edge compliance software to mid and large companies around the world. Our mission is to help our clients achieve and maintain compliance with ease, while improving their operational efficiency.
If you are a strategic and results-driven person with a passion for innovation, and you want to make a difference in the compliance software industry, we want to hear from you!
Rsum
Nous sommes la recherche dun(e) Ingnieur(e) IA/ML expriment(e) et innovant(e) pour mener la transformation IA chez Nimonik.
Dans ce rle, vous concevrez, dvelopperez et mettrez en uvre des solutions dintelligence artificielle (telles que des systmes de classification, des agents intelligents, des outils de recherche et des chatbots) afin de tirer parti de la vaste base de donnes rglementaires et normatives de Nimonik.
Si vous avez une solide exprience en dveloppement IA, de fortes comptences en programmation, et une passion pour la rsolution de problmes, cest loccasion idale de vous amuser, dexprimenter les dernires technologies et de livrer des solutions IA percutantes qui font rellement la diffrence!
Responsabilits
- Collaborer avec diverses quipes pour dfinir les besoins mtier
- Servir de centre dexcellence technique pour les initiatives en intelligence artificielle et en apprentissage automatique
- Concevoir, dvelopper et dployer en production des solutions dIA utilisant des modles classiques de ML, des approches RAG combines aux LLM, des LLM ajusts (fine-tuning) et des systmes agentiques
- Identifier les besoins en matire de collecte et dannotation de donnes, et veiller ce que les ensembles de donnes soient correctement prpars pour lentranement et lajustement des modles
- valuer et comparer les modles dIA laide de mtriques pertinentes pour mesurer leur prcision, leur efficacit et leur pertinence mtier
- Collaborer avec les ingnieurs logiciels pour intgrer les applications dIA la plateforme de Nimonik
- Se tenir jour des dernires avances en IA, exprimenter et les appliquer
- Documenter le code, les mthodologies et les expriences, et contribuer au partage des connaissances au sein de lquipe
- Participer la rdaction des rapports RS&DE
Exigences
- 1+ ans dexprience pertinente en dveloppement logiciel IA et en ingnierie de lapprentissage automatique, incluant une exprience avec:
- Les plateformes infonuagiques (de prfrence AWS et ses services comme Amazon Bedrock, SageMaker, Lambda, OpenSearch, etc.)
- SQL (ex.: PostgreSQL)
- Le dveloppement dAPI (FastAPI, Flask, etc.)
- Les outils de ML tels que PyTorch, TensorFlow, HuggingFace, etc.
- Lentranement, lajustement (fine-tuning), lvaluation et le dploiement de modles de type BERT et autres modles bass sur des transformeurs
- Les LLM open source et propritaires tels que Claude, les GPT et Qwen
- Les bases de donnes vectorielles open source et propritaires telles quOpenSearch, Weaviate et Pinecone
- La mise en uvre de pipelines RAG laide de LangChain ou de cadres similaires
- MCP et les systmes LLM agentiques
- Le dploiement dapplications IA avec une attention particulire la confidentialit et la scurit des donnes
- Excellentes comptences en dveloppement Python
- Capacit sortir des sentiers battus, concevoir des solutions dIA bases sur les technologies les plus rcentes, et livrer des rsultats concrets.
Atouts
- Diplme en ML, intelligence artificielle, informatique, gnie logiciel ou domaine connexe
- Connaissance du domaine juridique et de la conformit
- Comptences et exprience en dveloppement front-end
- Exprience avec les moteurs de recherche
Processus dembauche
- Entretien tlphonique de prslection de 20 minutes
- Test de codage
- Entretien gnral
propos du poste
- Semaine de travail de 37,5 heures
- Bureau situ dans le Mile End Montral, avec possibilit de tltravail (modle hybride au dpart, avec option de travail distance complet par la suite)
- Horaire de travail flexible
- Salaire concurrentiel
- Autres avantages, notamment:
- Assurance sant
- Trois semaines de vacances payes ds lentre en poste
- Vendredis pays en cong durant le mois de juillet
- Cong prolong et pay pendant la priode des Nol
- Politiques favorables la vie de famille
- Excellent caf au bureau
Ce poste est permanent, avec une priode de probation de trois mois avant dtre admissible lensemble des avantages.
propos de nous
Nous sommes une entreprise SaaS B2B en forte croissance qui offre des solutions logicielles de conformit de pointe aux moyennes et grandes entreprises travers le monde. Notre mission est daider nos clients atteindre et maintenir la conformit en toute simplicit, tout en amliorant leur efficacit oprationnelle.
Si vous tes une personne stratgique, axe sur les rsultats, passionne par linnovation et dsireuse de faire une relle diffrence dans lindustrie des logiciels de conformit, nous voulons vous entendre!
Part-Time AI/ML Engineer (Next.js / FastAPI)
Posted today
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Job Description
Our client, an AI-focused startup based in Toronto, Canada, are hiring an AI/ML Engineer to contribute to the delivery of high-impact product features using React/Next.js on the frontend and FastAPI on the backend. You will work within a focused engineering pod under the direction of a Lead Project Engineer, in close collaboration with Product Managers.
This role offers the opportunity to build production-grade software in a fast-moving environment while developing your technical skills and growing into engineering leadership.
Location: Toronto/GTA
Employment Type: Part-Time (~20 hours per week)
Experience: 3-4+ years
Tech Stack: Python, GenAI, Next.js, React, FastAPI, GCP, SQLAlchemy, Pydantic
What You'll Do
- Deliver production-ready AI solutions by creating and deploying AI agents and data pipelines that are robust, scalable, and real-world ready.
- Tackle real-world challenges by focusing on practical AI solutions that address tangible business needs and move beyond theory.
- Implement full-stack product features using FastAPI, Next.js, and PostgreSQL.
- Work with LPEs and PMs to translate requirements into deliverable tasks.
- Participate in technical planning, system design, and design reviews.
- Write clean, testable, and maintainable code.
- Debug issues and ensure reliable application behavior across services.
- Contribute to CI/CD processes and GCP-based infrastructure.
Requirements
What You Bring
- 3-5 years of experience in full stack development using modern JavaScript frameworks and Python web frameworks.
- Proficiency with React/Next.js, FastAPI, and SQLAlchemy.
- Familiarity with PostgreSQL and Pydantic.
- Experience with GenAI/ML production.
- Understanding of RESTful API design, data modeling, and system integration.
- Exposure to Google Cloud services (Cloud Run, Cloud SQL, IAM).
- Comfortable with Git-based workflows, Docker, and CI/CD pipelines.
- Strong communication skills and ability to work within collaborative teams.
- Startup or agile team experience is a plus.
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At Talencore, we stand against racism and discriminatory practices. We stand against violence.
We proudly support and partner with organizations that lift people up so everyone can succeed and thrive, and honour our candidates' experiences, perspectives and unique identity.
We are committed to continuing to make diversity, equity, and inclusion part of everything we do – from how we work with our talented candidates to how we support our clients in building their diverse workforce.
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Part-Time AI/ML Engineer (Next.js / FastAPI)
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Senior Deep Learning Engineer
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We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
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- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
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Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
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- Experience deploying neural networks in production
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Senior Deep Learning Engineer
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Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.