36 Conversational AI jobs in Canada

Job Description

Are you passionate about the future of AI and its potential to transform business operations?

Join ChatBotz.ai, an innovative company at the forefront of developing intelligent chatbot solutions. We are seeking a highly skilled and motivated Product Manager to lead our Conversational AI team.

As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology. You will be responsible for overseeing the entire product lifecycle, from ideation to launch and beyond. Your expertise in Conversational AI will shape the future of our chatbot solutions, enabling us to provide personalized and interactive experiences for users.

Responsibilities:

• Lead the product strategy and vision for our Conversational AI solutions, ensuring alignment with the company's overall goals and objectives.
• Conduct market research and analysis to identify customer needs, trends, and opportunities in the Conversational AI space.
• Collaborate with cross-functional teams including engineering, design, and business development to define product requirements and specifications.
• Drive the product roadmap, making data-driven decisions and prioritizing features and enhancements based on customer feedback and market demand.
• Work closely with the engineering team to define technical requirements and ensure successful implementation of new features and functionalities.
• Monitor product performance, conduct user testing, and gather feedback to continuously improve the user experience and optimize product performance.
• Stay up-to-date with industry trends and advancements in Conversational AI technology, bringing fresh ideas and innovative approaches to drive product innovation.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is a plus.
• Proven experience as a Product Manager in the AI or Conversational AI industry.
• Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML).
• Familiarity with chatbot platforms, frameworks, and tools.
• Excellent analytical skills with the ability to translate complex technical concepts into clear product requirements.
• Strong leadership and communication skills to effectively collaborate with cross-functional teams.
• Experience in Agile software development methodologies.
• A passion for innovation and a deep understanding of customer needs.

Join ChatBotz.ai today and be part of a dynamic team that is revolutionizing businesses through the power of Conversational AI. Apply now to shape the future of intelligent chatbot solutions!

Job Description

Salary: $28-$5 per hour

LDS - Learn. Develop. Succeed. is a growing, innovative, research-based, educational charity serving children, youth, and adults with diagnosed or suspected learning differences.

LDS offers individualized, evidence-based, and technology-embracing programs that target student-specific learning needs. Our growing programs and services operate throughout BC live online, from our Learning Centres in East Vancouver and North Vancouver,at in-school locations, and in our mobile classroom.

Read more about our mission and impact here:

We are a diverse group of inspired, dedicated and caring professionals making a significant impact in the lives of the learners, families and the communities we serve. We seek new skills, energy, and talent to grow our team, deepen our impact, and advance our mission.

Purpose of Position

The AI Product Development Assistant is a member of our RISE Next Generation AI team. The goal of this game changing initiative is to develop and implement our next-generation LDS RISE platform that effectively incorporates innovative technologies, including artificial intelligence and advanced information systems to materially enhance our student experience and outcomes, our instructor teaching effectiveness and capacity, our organization efficiencies, and LDS scaling to support significantly more learners.

The AI Product Development Assistant provides support in the assessment, design, development, testing implementation and management of new AI-based tools used by our team and the learners and families we serve.

Principal Roles and Responsibilities

• Assist with project planning and coordination for the NextGen program (e.g., task tracking, meeting notes, timelines).

• Assist with the development and testing of LLM-based agent workflows (e.g., data classification, matching algorithms)

• Support structured data imports, database queries, and organizing data for use in our tools

• Collect and synthesize feedback from team members and stakeholders to inform iterative development.

• Draft and refine user-facing documentation and internal process notes, including schemes, API integrations, and sync logic
  

• Perform quality assurance testing on frontend/backend features.

• Support structured data pipeline tasks (e.g., cleaning, mapping, validating imported data)

• Contribute to research and prototyping of AI/EdTech tools relevant to our roadmapp
  

• Support the team with general events and outreach as required.

Competencies

• Outstanding software development skills
• Strong organizational and time management skills
• Excellent communication (written and oral) and interpersonal skills
• Strives in a collaborative, supportive team environment
• Self-motivated and self-directed
• Experience in an engineering or science discipline, ideally with knowledge relating to artificial intelligence, machine learning, software and hardware development, optoelectronics, and mechanical design
• Experience working on research projects and demonstrated ability to iteratively adapt and evolve research methodology
  

Technical Experience

• Strong track record with Python and JavaScript (especially for AI and web app development)
  
• Experience working with APIs (RESTful), especially for integrating 3rd-party tools
  
• Experience with PostgreSQL or SQLite, including querying and light data wrangling
  
• Exposure to large language model (LLM) APIs (e.g., OpenAI, Claude, etc.)
  
• Familiarity with collaborative development environments (e.g., GitHub)

Optional but strong asset to have experience with:

• Django (for backend web development)
  
• React and Next.js (frontend)
  
• Prompt engineering or LLM-based workflow design
  

Qualifications

• Senior years studying in or completion of a universityundergraduate degree in engineering, computer science or a related field

Requirements

• Criminal record check with vulnerable sector screening

• Eligibility to work in Canada
• Strong values alignment with our charitable mission

Start date: As soon as possible

End date: open ended.

Reports to: Senior Manager, Technology

Hours of work: 40 paid hours per week. The general schedule could be 8:30am 4:30pm, Monday to Friday.

Remuneration and Benefits: Hourly wage rate of 28-35 per hour, commensurate with education and experience

• 4% vacation pay

• Neuroaffirming and inclusive workplace

• Values-based organization with collaborative peers with a wide range of backgrounds and talents

• Inclusive culture and innovative workplace with opportunity for new approaches and growth

Location: LDS East Vancouver Learning Centre, located at Rupert and East Broadway. Easily accessible by SkyTrain or bus.

Job Type: Full-time, co-op (or equivalent) role

Equity: LDS is committed to employment equity and believes that a workforce that reflects the diversity of the communities we serve strengthens our ability to achieve our mission. We strongly encourage applicants of all genders, ethnic and cultural backgrounds, sexual orientations, abilities, and with a range of life experiences to apply.

Accessibility: Please note, LDS main office space is located on the ground floor of the building.

How to apply: Please apply directly through our careers page

The position will be open until filled. Applications will be considered as received. Only shortlisted candidates will be contacted. Thank you for your interest. We look forward to hearing from you.

Job Description

Qorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.

As a Machine Learning engineer, you’ll work on data ingestion and processing using various Natural Language Processing (NLP) tools. You will also work on building AI agents, fine-tuning LLMs, and building chatbots.

Key responsibilities include:

• Design, build, and maintain AI Agents using Langchain and other similar tools.

• Fine-tune and test LLMs on various verticals explored by Qorsa.

• Develop and deploy applications using Docker and Kubernetes.

• Improve on our existing technologies including data processing, natural language pipelines, and building knowledge graphs

Qorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.

Qorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.

Job Description

Salary: $100,000-$25,000+ yearly salary + benefits (See below for more details)

About us:

Spring Financial is revolutionizing financial access for Canadians, providing smart credit-building, mortgage, and lending solutions. Millions struggle with high-interest debt and limited financial optionswere here to change that.
As one of Canadas fastest-growing fintech companies, annually we help 1 million customers explore their financing options with easeonline, via text, or over the phone. Our dynamic, innovative team thrives on collaboration, growth, and making a real impact.
To learn more about our products please visit our website here:

NOTE: This is a full-time, permanent, hybrid position in downtown Vancouver, with 3 set days in the office and 2 WFH.

Job Overview:

As a Machine Learning Engineer II, you independently design, build, and maintain machine learning systems that deliver impact for our customers and business. You are responsible for deploying reliable, scalable solutions from credit scoring models to intelligent automation and LLM-powered features. You work across the stack to connect ML systems with real user value.

You own end-to-end workflows: from data ingestion and transformation to model training, validation, and online inference. You actively contribute to model quality, observability, and performance optimization. You also help standardize development practices, CI/CD, and deployment tooling for ML systems.

You are expected to integrate modern AI techniques including LLM APIs, embeddings, and generative workflows where appropriate, and help evaluate how they can enhance products and operations. You use AI development tools to accelerate delivery and improve testing and debugging. You also build and maintain automated data pipelines and model services, working across real-time and batch systems.

You work closely with product managers, data scientists, and business stakeholders to clarify problems, evaluate feasibility, and align technical solutions with strategic outcomes. You are a key contributor to the evolution of Springs ML platform and culture.

What youll do:

• Own development of production-grade ML and AI systems from data to deployment.
• Build automated pipelines for training, feature engineering, and model serving.
• Use AI tools to improve development speed and integrate AI capabilities (e.g. LLMs) into products.
• Optimize systems for performance, latency, and cost.
• Collaborate with cross-functional stakeholders to scope projects and communicate results.
• Monitor, retrain, and improve models based on feedback and system metrics.
  
  

What You Should Already Have:

• Experience deploying machine learning models into production systems.
• Proficiency in Python and tools such as scikit-learn, TensorFlow, PyTorch, or HuggingFace.
• Strong understanding of model lifecycle, MLOps, and data pipeline design.
• Skills in inference optimization.
• Ability to collaborate with data, product, and business teams on impactful ML features.
• Experience with testing, monitoring, and CI/CD for ML systems.
• Know-hows on cost/benefit analysis for different ML solutions, e.g. Lambda vs. Sagemaker Inference, OpenAI vs. xAI API.
• Comfortable working with AI technologies (LLMs, embeddings, etc.) in applied settings.

What We Will Give You:

• Competitive annual salary ranging from 100,000 to 125,000+ , reflective of experience and impact.
• Comprehensive benefits package, including extended health, dental, and vision coverage with 100% of monthly premiums covered by the Spring.
• GRSP matching program to support your long-term financial goals.
• Transit-Friendly Employer (Transit allowance).
• A modern, collaborative workspace in the heart of downtown Vancouver.
• Ongoing career growth opportunities and the chance to help shape Spring Financials technology strategy and team culture.

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Please note : Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.

Thank you for your interest! We appreciate your time and look forward to reviewing your application!

Job Description

Who We Are:

Muniworth is an innovative SaaS startup dedicated to municipal financial forecasting, empowering local governments to optimize budgeting and strategic financial planning. We are currently building an advanced Machine Learning and AI team to develop internal tooling, enhance our web applications, and create customized solutions for our municipal clients. If you're passionate about leveraging machine learning to drive impactful real-world solutions, Muniworth is the ideal place for you.

Who You Are:

You're an experienced Machine Learning Engineer excited by the prospect of working closely with a talented ML and AI team, under the guidance of our brilliant Lead ML Engineer. You thrive in environments with varied, challenging projects ranging from classic supervised and unsupervised ML tasks to advanced NLP, LLM, and RAG implementations. You're highly proficient with ML frameworks and libraries and ML Ops tools, and love finding innovative ways to apply ML and AI in solving complex problems.

What You'll Do:

• Design, build, and deploy robust machine learning pipelines and model serving infrastructure, ensuring reliable ML workflows from training to production.
• Write clean, maintainable code following software engineering best practices - while this isn't a senior engineering role, candidates should have demonstrated competency in creating readable, well-structured solutions that support collaborative development.
• Collaborate closely with our Lead ML Engineer and ML/AI team on projects spanning classical ML techniques, including feature engineering, dimensionality reduction, clustering, and classification, as well as NLP, Large Language Models, and RAG.
• Optimize model performance and scalability, leveraging your expertise in ML frameworks, model optimization, and distributed computing systems.
• Develop internal ML tools and customized AI-driven solutions for municipal clients, significantly influencing our product direction and company strategy through advanced analytics and predictive modelling.
• Own and manage specific ML-focused projects, balancing responsibilities between model maintenance, performance monitoring, and research into new ML approaches and techniques.

Requirements

What You Bring:

• 3+ years of industry experience in machine learning engineering.
• Proficiency using PyTorch/TensorFlow for implementing custom neural networks and training processes.
• Demonstrated experience writing clean, maintainable code with attention to software engineering best practices.
• Experience using transformer libraries (e.g. Hugging Face) for text classification.
• Experience utilizing traditional ML algorithms creatively to solve complex classification tasks.
• Experience using MLflow or similar for experiment tracking and model registry
• Familiarity using Docker for containerization and orchestration
• Familiarity using Apache airflow for pipeline automation
• Familiarity using Fast API/Flask for model serving APIs
• Familiarity with GitHub Actions for CI/CD
• Exposure to using Redis and Elasticsearch for caching and search
• A master’s degree in computer science, mathematics, statistics, or a related field—or significant practical experience demonstrating equivalent expertise beyond an undergraduate level.
• Excellent problem-solving abilities and strong communication skills, with the capability to articulate complex technical concepts clearly.
• Enthusiasm for innovation, adaptability, and actively contributing to team objectives beyond traditional role boundaries

Benefits

Why Join Muniworth:

• Competitive salary and comprehensive health and dental benefits.
• Flexible working hours (40 hours/week), tailored to your preferred schedule.
• Collaborative, intellectually stimulating environment emphasizing mathematics, innovation, and technical excellence.
• Modern, welcoming office located centrally in downtown Victoria, BC—100% in-person role.
• Regular team-building events and optional social activities.
• Directly influence critical municipal financial infrastructure, making a tangible impact on communities and local governments.
• For an ideal candidate with exceptional experience, we are open to offering compensation beyond the listed salary range.

Hiring Process:

We're actively hiring and eager to onboard exceptional talent as soon as possible. If you're excited by the intersection of data engineering and machine learning, thrive in a dynamic startup environment, and are motivated by meaningful work that impacts municipal governance, we'd love to connect with you. Please include a link to your public GitHub repository!

Job Description

Our client is looking for a highly skilled Machine Learning Engineer to join their growing team in Mississauga. This role is ideal for a technically strong and experienced ML professional who thrives in a fast-paced, collaborative environment and is passionate about delivering scalable machine learning solutions on distributed systems such as Hadoop.

Key Responsibilities:

• Design, develop, and implement machine learning models using Spark ML for predictive analytics
• Build and optimize end-to-end training and inference pipelines on distributed platforms
• Process and analyze large datasets to uncover insights and engineer effective features
• Work closely with data engineers to integrate ML models into existing data pipelines
• Fine-tune models and hyperparameters to maximize performance and accuracy
• Develop scalable solutions for both real-time and batch inference
• Continuously monitor deployed models and address any performance issues
• Keep up-to-date with the latest tools, frameworks, and best practices in machine learning and distributed computing

• 10+ years of experience as a Machine Learning Engineer or similar role
• Expertise in Apache Spark and Spark MLlib
• Solid understanding of predictive modeling techniques (e.g., regression, classification, clustering)
• Hands-on experience with distributed systems such as Hadoop
• Proficiency in Python, Scala, or Java
• Strong grasp of data preprocessing and feature engineering methodologies
• Familiarity with model evaluation metrics and production deployment practices
• In-depth knowledge of distributed computing and parallel processing principles

Huawei Canada has an immediate 12-month contract opening for a Researcher.

About the team:

The Software-Hardware System Optimization Lab continuously improves the power efficiency and performance of smartphone products through software-hardware systems optimization and architecture innovation. We keep tracking the trends of cutting-edge technologies, building the competitive strength of mobile AI, graphics, multimedia, and software architecture for mobile phone products.

About the job:

• Work on machine learning research, in particular for continual learning and their application in large language models (LLMs).

• Evaluate algorithms on general ML benchmarks or large foundation models such as LLMs.

• Keeping up-to-date on recent advances in related fields.

Huawei Canada has an immediate 12-month contract opening for a Researcher.

About the team:

Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.

About the job:

• Participate in the innovative LLMs reasoning and LLMs empowered AI agent research project;

• Implement algorithms for proposed models and applications, deploy into internal product;

• Work closely with researchers in the team;

• Keeping up-to-date on selected areas of ML and writing scientific reports;

• Provide insight report on the latest literature work.