183 Ml Engineer jobs in Canada

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!

Job Description

About CookUnity

Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.

Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.

If that mission has you hungry in more ways than one, you've found the right job posting.

As the Head of AI/ML/GenAI, you will lead a high-performing team of AI/ML engineers, and embedded data engineers. You will be responsible for driving the vision and strategy for CookUnity's AI/ML/GenAI initiatives, data infrastructure, and community-driven engineering efforts. This is a unique opportunity to build and scale state-of-the-art AI/ML solutions that fuel growth and innovation within the company, while fostering a collaborative environment that leverages the expertise of engineers across various domains.

This role reports directly to the Chief Technology Officer (CTO), working closely with senior leadership to align AI/ML strategy with the overall business vision.

A key focus of this role will be accelerating the adoption and integration of Large Language Models (LLMs) and Generative AI (GenAI) technologies across CookUnity, enabling innovative product features and internal efficiencies.

• Leadership & Team Management:
  • Lead, mentor, and develop a cross-functional AI/ML team, including data engineers and embedded data engineers.
  • Foster a community-driven culture that encourages knowledge sharing, collaboration, and continuous learning.
  • Align team objectives with broader company goals, ensuring that projects are executed effectively and efficiently.
• AI/ML Strategy & Implementation:
  • Drive the development of scalable AI/ML solutions that support both operational and strategic goals at CookUnity.
  • Develop and implement machine learning models that improve customer personalization, operational efficiency, and data-driven decision-making.
  • Lead the integration and adoption of Large Language Models (LLMs) and Generative AI (GenAI) to enhance product features, improve customer experience, and accelerate business growth.
  • Stay at the forefront of emerging AI/ML technologies, including LLMs and GenAI, and apply relevant innovations to solve complex problems.
• Data Infrastructure & Architecture:
  • Oversee the architecture of CookUnity's data pipelines, ensuring they are robust, scalable, and efficient to support machine learning, analytics, and GenAI model deployments.
  • Manage the end-to-end lifecycle of data processing, including ingestion, storage, transformation, and analytics.
  • Collaborate with the infrastructure team to ensure data platforms are optimized for performance, reliability, and security.
• Collaboration & Cross-Functional Partnerships:
  • Work closely with product, engineering, and business teams to understand their data needs and deliver impactful solutions.
  • Drive the integration of embedded data engineering into core product development cycles.
  • Engage with senior leadership to align AI/ML strategies with broader company initiatives and business outcomes.
• Community & Knowledge Sharing:
  • Establish and nurture a community of AI/ML experts across CookUnity to share best practices, solve challenges, and promote innovation.
  • Spearhead internal forums, workshops, and seminars to accelerate the adoption of LLMs and GenAI, ensuring that team members are up to speed with new technologies and trends.
  • Foster a culture of continuous learning and ensure the team is equipped to leverage the latest advancements in AI/ML.
• Reporting & Analytics:
  • Define and implement key performance indicators (KPIs) to track the success of AI/ML and GenAI solutions.
  • Present regular updates to the executive team, including the CTO, on project progress, challenges, and opportunities related to AI/ML and GenAI adoption.

• 10+ years of experience in AI/ML, data engineering, or related fields, with at least 3 years in a leadership role.
• Proven experience leading cross-functional teams in an agile environment, with a strong ability to balance technical execution and strategic vision.
• Expertise in machine learning algorithms, data pipelines, and AI/ML model deployment at scale.
• Solid understanding of Large Language Models (LLMs) and Generative AI (GenAI), and how to integrate these technologies into business operations.
• Strong understanding of cloud technologies (AWS, GCP, Azure) and modern data stack solutions (e.g., Apache Kafka, Snowflake, Redshift).
• Deep knowledge of data engineering best practices, including ETL processes, data warehousing, and data governance.
• Strong communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical stakeholders.
• Ability to drive change, inspire innovation, and foster a collaborative and results-driven team environment.

• Experience with embedded data engineering, working closely with product development teams.
• Familiarity with data privacy and security regulations (e.g., GDPR, CCPA).
• Background in food-tech, consumer goods, or related industries.

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect!

About vidIQ

vidIQ builds software to help YouTube creators achieve their goals. Our mission is to advance the creator's journey with actionable data-driven insights and AI-powered tools. We are dedicated to our values of being creator-obsessed, lean and fast, and scientific. Having already supported millions of creators, we invite stunning new co-workers to join us in reaching millions more.

Imagine a product that reached over a million users without a traditional sales team. This product stands at the forefront of career evolution, where everyone can be their own brand with unlimited growth potential. That's the opportunity at vidIQ—an infinite market, a large and highly engaged customer base, and the chance to help scale the platform that delivers insights to millions of creators.

Discover more about vidIQ firsthand at .

About the Team

We're a team of 100+ people. Our vision is to be the smart copilot for every creator. We strive to create a welcoming environment where our team of highly driven, passionate people can share ideas with each other and do their best work. We are looking for team members who are excellent at their craft, communicate with kindness, and act like OWNERS.

An overview of our technology stack

• Frontend: Typescript, React.js, Next.js

• Backend: Scala /Python/ Node.js

• Infrastructure & CI/CD: Kubernetes, Docker, GitHub, ArgoCD

• Cloud: AWS, GCP

• Databases: PostgreSQL, MongoDB, DynamoDB, OpenSearch

• Data processing: Python, Spark, Kafka, Airflow, Pandas, Numpy

• ML libraries: PyTorch, Hugging Face, sci-kit-learn, Tensorflow, Keras

• ML algorithms: multi-modal LLMs, Diffusion Models, Recommender Systems, ANN

About the Role

We are looking for a highly motivated AI/Machine Learning Engineer, with a background in backend development. In this role, you'll work closely with a cross-functional team to drive product innovation and deliver high-impact results. The ideal candidate will have robust engineering experience, a proactive mindset, and a proven track record in product development. You will be expected to frequently collaborate with key stakeholders, including senior leadership , articulate technical concepts to non-technical audiences, and lead by example in a FAST-PACED , results-oriented environment.

What you will do

• Work closely with Product Managers/Senior Leadership to frame problems within the business context and deliver the highest impact to our users

• Design, implement and ship new features with a high level of responsibility and OWNERSHIP

• Implement scalable solutions to consistently serve a vast global user base

• Help establish architecture based on technology and our needs

• Build, train, and test Machine learning/AI solutions focusing on natural language processing, recommender systems, computer vision

• Write well-crafted, well-tested, maintainable code to convert our ML models into working pipelines

• Collaborate closely with Frontend, DevOps, and Data Engineering teams to deliver cohesive end-to-end solutions, align on technical decisions, and ensure smooth integration between system components

• Participate in code-reviews to ensure code quality and distribute knowledge

• Monitor and troubleshoot existing features and resolve any issues that arise

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.

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.

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.

Job Description

Owl.co empowers insurers to combat illegitimate claims on a large scale while eliminating human bias from the process. Our clients are top insurance companies across North America, achieving remarkable results through our AI-powered, evidence-based platform. We are on a mission to integrate state-of-the-art ML and NLP methods to transform this traditionally manual activity into a fair process. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.

In this position, you'll collaborate closely with cross-functional teams to design, implement, and optimize systems that are reshaping how insurers detect and handle illegitimate claims.

This role is on-site in our downtown Toronto office.

Responsibilities:

• Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
• Train, evaluate and deploy DL models that enable Owl products.
• Conduct and collaborate on research projects that advance product capabilities.

Requirements

Minimum Qualifications:

• Bachelor's degree in Computer Science or relevant technical field.
• PhD in computer vision and/or machine learning or related areas.
• 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience in utilizing Generative AI technology and model finetuning (instruct tuning, SFT, RLHF, etc.).
• Experience communicating research for public audiences or peers.

Preferred Qualifications:

• First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
• 4+ year(s) of work experience in an industry, university, or government lab.

Benefits

Why join Owl?

• Industry Leaders : Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team.

• Market Leadershi p: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate , with renewals consistently doubling their previous terms.

• Lean & Impact Driven Team : Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start.

• Established Product-Market Fit : AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.

• Healthcare benefits: we cover 100% of the premiums for you and 70% for your family (medical, dental & vision)

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.