Multiple Openings – ML & AI Engineer, Data Scientist, Marketing Strategist, Full Stack Developer & Customer Support Executive Job Job
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Employer: MarketMindz Inc.
SpiderID: 14203000
Location: Vancouver, British Columbia
Posted: 7/2/2026
Wage: CAD $90,000 – $130,000 annually
Priority Review Date: 9/30/2026
Job Code / NOC / SOC: MarketMindz-05-2026
Category: General
Job Description:
958 Montroyal Boulevard, North Vancouver, British Columbia V7R 2H1, Canada
Employment Type: Full-Time, Permanent
Work Schedule: 30–40 hours per week
Company Overview
MarketMindz Inc. is an innovative technology company developing Artificial Intelligence and Machine Learning-powered marketing software for e-commerce companies and retailers. The company’s platform combines AI automation with Human-in-the-Loop technology, allowing human expertise and feedback to support the training, validation and continuous improvement of machine-learning models.
MarketMindz Inc.’s software is designed to provide predictive personalization, predictive product recommendations, real-time customer data analysis and tailored marketing messages. By analyzing customer profiles, transaction histories, product-page activity, category interests and engagement information, the platform helps businesses better understand customer preferences, deliver relevant recommendations and improve campaign performance.
Through continuous human-machine feedback loops, MarketMindz Inc. aims to improve model transparency, reduce algorithmic bias, protect brand identity and ensure that AI-generated marketing recommendations remain accurate, ethical and aligned with customer expectations. The platform will be delivered through subscription-based cloud and private-cloud solutions for e-commerce companies and retailers.
(1) ML & AI Engineer
Salary: CAD $95,000–$135,000 annually
Responsibilities
Design, develop, test and deploy Artificial Intelligence and Machine Learning models for MarketMindz Inc.’s marketing platform.
Oversee the integration of advanced AI, Machine Learning, deep-learning and Human-in-the-Loop technologies.
Develop algorithms for predictive personalization, customer affinity modelling and product recommendations.
Build models that analyze customer profiles, transaction histories, page views, category interests and engagement data.
Develop human-machine feedback loops through which human reviewers can validate and correct AI-generated outputs.
Create model-retraining processes that use new customer interactions and human feedback to improve prediction accuracy.
Design methods for tailoring marketing messages and product recommendations to individual customer preferences.
Integrate real-time data fusion capabilities into the company’s AI-powered marketing software.
Monitor model accuracy, performance, fairness, interpretability and reliability.
Identify and reduce bias arising from training data, model design or automated decision-making.
Develop safeguards to prevent over-personalization, inappropriate recommendations and misleading AI-generated content.
Collaborate with Data Scientists to prepare datasets, evaluate experiments and improve recommendation algorithms.
Work with Full Stack Developers to deploy AI models within cloud-based and private-cloud environments.
Maintain model documentation, technical specifications, testing records and deployment standards.
Research emerging AI and Machine Learning technologies that may improve the platform’s functionality and performance.
Qualifications
Bachelor’s degree in Artificial Intelligence, Machine Learning, Computer Science, Software Engineering, Data Science or a related field.
Minimum 3 years of experience developing AI, Machine Learning or data-driven software solutions.
Proficiency in Python and Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn.
Experience with recommendation systems, personalization models, predictive analytics or customer-behaviour modelling.
Knowledge of supervised learning, unsupervised learning, deep learning, feature engineering and model validation.
Experience designing and deploying Machine Learning models in production environments.
Knowledge of MLOps, model monitoring, version control and automated testing practices.
Understanding of explainable AI, algorithmic fairness, bias detection and responsible AI practices.
Experience with Human-in-the-Loop systems is considered an asset.
Experience developing AI solutions for e-commerce, retail, advertising or marketing technology is considered an asset.
Strong analytical, problem-solving, documentation and communication skills.
Benefits
Paid vacation
Health benefits package
Professional development opportunities
(2) Data Scientist
Salary: CAD $90,000–$125,000 annually
Responsibilities
Collect, organize, clean and analyze customer, transaction, product and marketing campaign data.
Develop analytical models that support predictive personalization and product recommendations.
Analyze customer profiles, purchasing histories, product-page views, category interests and engagement patterns.
Perform data exploration, statistical analysis and feature engineering to improve Machine Learning performance.
Develop customer-segmentation, affinity-scoring and behavioural prediction models.
Evaluate the effectiveness of product recommendations, personalized messages and marketing campaigns.
Design experiments and A/B tests to measure customer engagement, conversion and recommendation performance.
Develop metrics for model accuracy, relevance, fairness, customer satisfaction and business impact.
Identify patterns, trends and relationships within structured and unstructured datasets.
Refine the algorithms that generate personalized recommendations and marketing insights.
Monitor data quality and identify incomplete, inconsistent, duplicated or unreliable information.
Create reports, dashboards and visualizations that communicate findings to technical and business stakeholders.
Collaborate with ML & AI Engineers on model training, validation and continuous improvement.
Work with Marketing Strategists to translate analytical findings into practical audience-engagement strategies.
Support privacy-conscious data collection, processing, retention and access practices.
Maintain data dictionaries, analytical documentation, experiment results and model-performance records.
Qualifications
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics or a related field.
Minimum 3 years of experience in data science, advanced analytics or statistical modelling.
Proficiency in Python, R, SQL or similar analytical programming languages.
Experience with data-processing, Machine Learning and statistical-analysis libraries.
Knowledge of predictive analytics, recommendation systems, customer segmentation and behavioural modelling.
Experience with data cleaning, feature engineering, model evaluation and experiment design.
Experience using data-visualization and business-intelligence tools.
Understanding of databases, cloud data environments and data pipelines.
Experience analyzing e-commerce, retail, customer or digital-marketing data is considered an asset.
Knowledge of privacy, ethical data use and bias evaluation is considered an asset.
Strong analytical, presentation, documentation and problem-solving skills.
Benefits
Paid vacation
Health benefits package
Professional development opportunities
(3) Marketing Strategist
Salary: CAD $70,000–$100,000 annually
Responsibilities
Develop data-driven marketing strategies for MarketMindz Inc. and its e-commerce and retail customers.
Collaborate closely with the ML & AI and Data Science teams to translate analytical findings into marketing actions.
Develop audience-engagement strategies based on customer preferences, affinity scores and behavioural patterns.
Create customer-segmentation, personalization, conversion and retention strategies.
Use predictive recommendations and real-time customer insights to improve marketing campaign performance.
Plan and manage email marketing, search engine optimization, social media and digital advertising campaigns.
Develop campaign messaging that remains consistent with customer brand identity and values.
Review AI-generated marketing content and provide human feedback to improve accuracy, relevance and brand alignment.
Ensure that personalized marketing avoids excessive targeting, misleading content and inappropriate assumptions about customers.
Design and evaluate A/B tests for messages, recommendations, offers and customer journeys.
Monitor campaign engagement, conversion rates, customer acquisition costs, retention and return on marketing investment.
Conduct customer, competitor, industry and market-trend research.
Prepare marketing plans, campaign briefs, presentations, performance reports and customer recommendations.
Support the commercial launch and adoption of MarketMindz Inc.’s subscription-based software.
Collaborate with customer-support personnel to incorporate customer feedback into marketing and product strategies.
Qualifications
Bachelor’s degree in Marketing, Business Administration, Commerce, Communications, Data Analytics or a related field.
Minimum 3 years of experience in digital marketing, marketing strategy, campaign management or customer analytics.
Experience developing data-driven marketing and customer-engagement strategies.
Knowledge of customer segmentation, personalization, conversion optimization and retention marketing.
Experience with email marketing, SEO, paid advertising, social media and content marketing.
Ability to interpret customer, campaign and product-performance data.
Experience using CRM, marketing automation, web analytics and digital advertising platforms.
Understanding of AI-powered marketing, recommendation systems or predictive analytics is considered an asset.
Experience in e-commerce, retail, SaaS or marketing technology is considered an asset.
Strong strategic thinking, presentation, writing and project-management skills.
Ability to collaborate effectively with technical and non-technical team members.
Benefits
Paid vacation
Health benefits package
Professional development opportunities
(4) Full Stack Developer
Salary: CAD $85,000–$120,000 annually
Responsibilities
Design, develop, test and maintain the frontend and backend components of MarketMindz Inc.’s software platform.
Develop scalable application architecture for cloud-based and private-cloud deployments.
Create responsive, accessible and user-friendly interfaces for marketing teams, retailers and e-commerce companies.
Build application features for predictive personalization, recommendations, customer profiles and campaign management.
Develop and maintain APIs, databases, authentication services and data-integration components.
Integrate Machine Learning models and recommendation algorithms into the production platform.
Build interfaces through which human reviewers can monitor, validate and correct AI-generated recommendations.
Develop real-time data-processing capabilities for customer interactions, product activity and marketing events.
Support integration with e-commerce platforms, retail systems, CRM tools and online business environments.
Implement secure access controls, user permissions, encryption and data-protection measures.
Optimize application performance, scalability, availability and reliability.
Write clean, maintainable, reusable and well-documented code.
Conduct functional, integration, performance and security testing.
Troubleshoot software defects, deployment issues and third-party integration problems.
Participate in code reviews and maintain coding, documentation and release-management standards.
Collaborate with ML & AI Engineers, Data Scientists and Marketing Strategists throughout product development.
Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Information Technology or a related field.
Minimum 3 years of full-stack development, web-application development or software engineering experience.
Proficiency in JavaScript, TypeScript, Python, Java, C# or similar programming languages.
Experience with modern frontend frameworks such as React, Angular or Vue.
Experience with backend frameworks, API development, databases and cloud infrastructure.
Knowledge of relational and non-relational database technologies.
Experience integrating Machine Learning models, analytical services or recommendation engines into applications.
Experience developing secure, scalable SaaS platforms.
Knowledge of automated testing, source control, continuous integration and deployment practices.
Experience integrating software with e-commerce, CRM or digital-marketing platforms is considered an asset.
Understanding of privacy-by-design and secure software-development practices.
Strong analytical, troubleshooting, communication and teamwork skills.
Benefits
Paid vacation
Health benefits package
Professional development opportunities
(5) Customer Support Executive
Salary: CAD $48,000–$65,000 annually
Responsibilities
Provide prompt and professional assistance to MarketMindz Inc.’s customers through email, telephone, chat and support-ticket channels.
Guide new customers through account setup, platform configuration, integration and onboarding.
Assist e-commerce companies and retailers with using personalization, recommendation and campaign-management features.
Respond to questions about customer profiles, product recommendations, analytics and AI-generated marketing outputs.
Investigate and resolve account, subscription, configuration and platform-usage issues.
Provide basic troubleshooting for data integrations, recommendation displays and customer-facing widgets.
Record, categorize, prioritize and track customer-support requests through resolution.
Escalate software defects, data-quality concerns and technical issues to the appropriate development team.
Follow up with customers to confirm that reported issues have been resolved satisfactorily.
Collect feedback about recommendation quality, platform usability and customer requirements.
Communicate recurring concerns, feature requests and improvement opportunities to product and technical personnel.
Prepare user guides, onboarding materials, frequently asked questions and troubleshooting documentation.
Support customer subscription renewals, account retention and the adoption of additional platform features.
Maintain accurate records of customer interactions, resolutions and satisfaction levels.
Handle customer and business information in accordance with the company’s privacy and security procedures.
Foster trust and satisfaction by maintaining clear, respectful and timely communication with clients.
Qualifications
Bachelor’s degree or college diploma in Business Administration, Marketing, Communications, Information Technology or a related field.
Minimum 2 years of experience in customer support, technical support, client service or SaaS account support.
Experience working with help-desk, support-ticket, CRM or customer-communication systems.
Ability to explain software features and technical information clearly to non-technical customers.
Experience supporting SaaS, e-commerce, retail or digital-marketing platforms is considered an asset.
Basic understanding of customer analytics, personalization, recommendation systems or online marketing.
Strong troubleshooting, organization and time-management skills.
Excellent written and verbal communication abilities.
Ability to manage multiple customer requests while maintaining accuracy and professionalism.
Commitment to customer satisfaction, confidentiality and responsible handling of customer information.
Benefits
Paid vacation
Health benefits package
Professional development opportunities
How to Apply
Interested candidates should submit their résumé and cover letter through the MarketMindz Inc. Careers page or by email to:
Email: [email protected]
MarketMindz Inc.
958 Montroyal Boulevard
North Vancouver, British Columbia V7R 2H1
Canada
The company’s official Careers page provides an online application form for all five positions.
Employment Type: Full-Time, Permanent
Work Schedule: 30–40 hours per week
Company Overview
MarketMindz Inc. is an innovative technology company developing Artificial Intelligence and Machine Learning-powered marketing software for e-commerce companies and retailers. The company’s platform combines AI automation with Human-in-the-Loop technology, allowing human expertise and feedback to support the training, validation and continuous improvement of machine-learning models.
MarketMindz Inc.’s software is designed to provide predictive personalization, predictive product recommendations, real-time customer data analysis and tailored marketing messages. By analyzing customer profiles, transaction histories, product-page activity, category interests and engagement information, the platform helps businesses better understand customer preferences, deliver relevant recommendations and improve campaign performance.
Through continuous human-machine feedback loops, MarketMindz Inc. aims to improve model transparency, reduce algorithmic bias, protect brand identity and ensure that AI-generated marketing recommendations remain accurate, ethical and aligned with customer expectations. The platform will be delivered through subscription-based cloud and private-cloud solutions for e-commerce companies and retailers.
(1) ML & AI Engineer
Salary: CAD $95,000–$135,000 annually
Responsibilities
Design, develop, test and deploy Artificial Intelligence and Machine Learning models for MarketMindz Inc.’s marketing platform.
Oversee the integration of advanced AI, Machine Learning, deep-learning and Human-in-the-Loop technologies.
Develop algorithms for predictive personalization, customer affinity modelling and product recommendations.
Build models that analyze customer profiles, transaction histories, page views, category interests and engagement data.
Develop human-machine feedback loops through which human reviewers can validate and correct AI-generated outputs.
Create model-retraining processes that use new customer interactions and human feedback to improve prediction accuracy.
Design methods for tailoring marketing messages and product recommendations to individual customer preferences.
Integrate real-time data fusion capabilities into the company’s AI-powered marketing software.
Monitor model accuracy, performance, fairness, interpretability and reliability.
Identify and reduce bias arising from training data, model design or automated decision-making.
Develop safeguards to prevent over-personalization, inappropriate recommendations and misleading AI-generated content.
Collaborate with Data Scientists to prepare datasets, evaluate experiments and improve recommendation algorithms.
Work with Full Stack Developers to deploy AI models within cloud-based and private-cloud environments.
Maintain model documentation, technical specifications, testing records and deployment standards.
Research emerging AI and Machine Learning technologies that may improve the platform’s functionality and performance.
Qualifications
Bachelor’s degree in Artificial Intelligence, Machine Learning, Computer Science, Software Engineering, Data Science or a related field.
Minimum 3 years of experience developing AI, Machine Learning or data-driven software solutions.
Proficiency in Python and Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn.
Experience with recommendation systems, personalization models, predictive analytics or customer-behaviour modelling.
Knowledge of supervised learning, unsupervised learning, deep learning, feature engineering and model validation.
Experience designing and deploying Machine Learning models in production environments.
Knowledge of MLOps, model monitoring, version control and automated testing practices.
Understanding of explainable AI, algorithmic fairness, bias detection and responsible AI practices.
Experience with Human-in-the-Loop systems is considered an asset.
Experience developing AI solutions for e-commerce, retail, advertising or marketing technology is considered an asset.
Strong analytical, problem-solving, documentation and communication skills.
Benefits
Paid vacation
Health benefits package
Professional development opportunities
(2) Data Scientist
Salary: CAD $90,000–$125,000 annually
Responsibilities
Collect, organize, clean and analyze customer, transaction, product and marketing campaign data.
Develop analytical models that support predictive personalization and product recommendations.
Analyze customer profiles, purchasing histories, product-page views, category interests and engagement patterns.
Perform data exploration, statistical analysis and feature engineering to improve Machine Learning performance.
Develop customer-segmentation, affinity-scoring and behavioural prediction models.
Evaluate the effectiveness of product recommendations, personalized messages and marketing campaigns.
Design experiments and A/B tests to measure customer engagement, conversion and recommendation performance.
Develop metrics for model accuracy, relevance, fairness, customer satisfaction and business impact.
Identify patterns, trends and relationships within structured and unstructured datasets.
Refine the algorithms that generate personalized recommendations and marketing insights.
Monitor data quality and identify incomplete, inconsistent, duplicated or unreliable information.
Create reports, dashboards and visualizations that communicate findings to technical and business stakeholders.
Collaborate with ML & AI Engineers on model training, validation and continuous improvement.
Work with Marketing Strategists to translate analytical findings into practical audience-engagement strategies.
Support privacy-conscious data collection, processing, retention and access practices.
Maintain data dictionaries, analytical documentation, experiment results and model-performance records.
Qualifications
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics or a related field.
Minimum 3 years of experience in data science, advanced analytics or statistical modelling.
Proficiency in Python, R, SQL or similar analytical programming languages.
Experience with data-processing, Machine Learning and statistical-analysis libraries.
Knowledge of predictive analytics, recommendation systems, customer segmentation and behavioural modelling.
Experience with data cleaning, feature engineering, model evaluation and experiment design.
Experience using data-visualization and business-intelligence tools.
Understanding of databases, cloud data environments and data pipelines.
Experience analyzing e-commerce, retail, customer or digital-marketing data is considered an asset.
Knowledge of privacy, ethical data use and bias evaluation is considered an asset.
Strong analytical, presentation, documentation and problem-solving skills.
Benefits
Paid vacation
Health benefits package
Professional development opportunities
(3) Marketing Strategist
Salary: CAD $70,000–$100,000 annually
Responsibilities
Develop data-driven marketing strategies for MarketMindz Inc. and its e-commerce and retail customers.
Collaborate closely with the ML & AI and Data Science teams to translate analytical findings into marketing actions.
Develop audience-engagement strategies based on customer preferences, affinity scores and behavioural patterns.
Create customer-segmentation, personalization, conversion and retention strategies.
Use predictive recommendations and real-time customer insights to improve marketing campaign performance.
Plan and manage email marketing, search engine optimization, social media and digital advertising campaigns.
Develop campaign messaging that remains consistent with customer brand identity and values.
Review AI-generated marketing content and provide human feedback to improve accuracy, relevance and brand alignment.
Ensure that personalized marketing avoids excessive targeting, misleading content and inappropriate assumptions about customers.
Design and evaluate A/B tests for messages, recommendations, offers and customer journeys.
Monitor campaign engagement, conversion rates, customer acquisition costs, retention and return on marketing investment.
Conduct customer, competitor, industry and market-trend research.
Prepare marketing plans, campaign briefs, presentations, performance reports and customer recommendations.
Support the commercial launch and adoption of MarketMindz Inc.’s subscription-based software.
Collaborate with customer-support personnel to incorporate customer feedback into marketing and product strategies.
Qualifications
Bachelor’s degree in Marketing, Business Administration, Commerce, Communications, Data Analytics or a related field.
Minimum 3 years of experience in digital marketing, marketing strategy, campaign management or customer analytics.
Experience developing data-driven marketing and customer-engagement strategies.
Knowledge of customer segmentation, personalization, conversion optimization and retention marketing.
Experience with email marketing, SEO, paid advertising, social media and content marketing.
Ability to interpret customer, campaign and product-performance data.
Experience using CRM, marketing automation, web analytics and digital advertising platforms.
Understanding of AI-powered marketing, recommendation systems or predictive analytics is considered an asset.
Experience in e-commerce, retail, SaaS or marketing technology is considered an asset.
Strong strategic thinking, presentation, writing and project-management skills.
Ability to collaborate effectively with technical and non-technical team members.
Benefits
Paid vacation
Health benefits package
Professional development opportunities
(4) Full Stack Developer
Salary: CAD $85,000–$120,000 annually
Responsibilities
Design, develop, test and maintain the frontend and backend components of MarketMindz Inc.’s software platform.
Develop scalable application architecture for cloud-based and private-cloud deployments.
Create responsive, accessible and user-friendly interfaces for marketing teams, retailers and e-commerce companies.
Build application features for predictive personalization, recommendations, customer profiles and campaign management.
Develop and maintain APIs, databases, authentication services and data-integration components.
Integrate Machine Learning models and recommendation algorithms into the production platform.
Build interfaces through which human reviewers can monitor, validate and correct AI-generated recommendations.
Develop real-time data-processing capabilities for customer interactions, product activity and marketing events.
Support integration with e-commerce platforms, retail systems, CRM tools and online business environments.
Implement secure access controls, user permissions, encryption and data-protection measures.
Optimize application performance, scalability, availability and reliability.
Write clean, maintainable, reusable and well-documented code.
Conduct functional, integration, performance and security testing.
Troubleshoot software defects, deployment issues and third-party integration problems.
Participate in code reviews and maintain coding, documentation and release-management standards.
Collaborate with ML & AI Engineers, Data Scientists and Marketing Strategists throughout product development.
Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Information Technology or a related field.
Minimum 3 years of full-stack development, web-application development or software engineering experience.
Proficiency in JavaScript, TypeScript, Python, Java, C# or similar programming languages.
Experience with modern frontend frameworks such as React, Angular or Vue.
Experience with backend frameworks, API development, databases and cloud infrastructure.
Knowledge of relational and non-relational database technologies.
Experience integrating Machine Learning models, analytical services or recommendation engines into applications.
Experience developing secure, scalable SaaS platforms.
Knowledge of automated testing, source control, continuous integration and deployment practices.
Experience integrating software with e-commerce, CRM or digital-marketing platforms is considered an asset.
Understanding of privacy-by-design and secure software-development practices.
Strong analytical, troubleshooting, communication and teamwork skills.
Benefits
Paid vacation
Health benefits package
Professional development opportunities
(5) Customer Support Executive
Salary: CAD $48,000–$65,000 annually
Responsibilities
Provide prompt and professional assistance to MarketMindz Inc.’s customers through email, telephone, chat and support-ticket channels.
Guide new customers through account setup, platform configuration, integration and onboarding.
Assist e-commerce companies and retailers with using personalization, recommendation and campaign-management features.
Respond to questions about customer profiles, product recommendations, analytics and AI-generated marketing outputs.
Investigate and resolve account, subscription, configuration and platform-usage issues.
Provide basic troubleshooting for data integrations, recommendation displays and customer-facing widgets.
Record, categorize, prioritize and track customer-support requests through resolution.
Escalate software defects, data-quality concerns and technical issues to the appropriate development team.
Follow up with customers to confirm that reported issues have been resolved satisfactorily.
Collect feedback about recommendation quality, platform usability and customer requirements.
Communicate recurring concerns, feature requests and improvement opportunities to product and technical personnel.
Prepare user guides, onboarding materials, frequently asked questions and troubleshooting documentation.
Support customer subscription renewals, account retention and the adoption of additional platform features.
Maintain accurate records of customer interactions, resolutions and satisfaction levels.
Handle customer and business information in accordance with the company’s privacy and security procedures.
Foster trust and satisfaction by maintaining clear, respectful and timely communication with clients.
Qualifications
Bachelor’s degree or college diploma in Business Administration, Marketing, Communications, Information Technology or a related field.
Minimum 2 years of experience in customer support, technical support, client service or SaaS account support.
Experience working with help-desk, support-ticket, CRM or customer-communication systems.
Ability to explain software features and technical information clearly to non-technical customers.
Experience supporting SaaS, e-commerce, retail or digital-marketing platforms is considered an asset.
Basic understanding of customer analytics, personalization, recommendation systems or online marketing.
Strong troubleshooting, organization and time-management skills.
Excellent written and verbal communication abilities.
Ability to manage multiple customer requests while maintaining accuracy and professionalism.
Commitment to customer satisfaction, confidentiality and responsible handling of customer information.
Benefits
Paid vacation
Health benefits package
Professional development opportunities
How to Apply
Interested candidates should submit their résumé and cover letter through the MarketMindz Inc. Careers page or by email to:
Email: [email protected]
MarketMindz Inc.
958 Montroyal Boulevard
North Vancouver, British Columbia V7R 2H1
Canada
The company’s official Careers page provides an online application form for all five positions.
Company Profile:
MarketMindz Inc. is an innovative technology company developing Artificial Intelligence and Machine Learning-powered marketing software for e-commerce companies and retailers. The company’s platform combines AI automation with Human-in-the-Loop technology, allowing human expertise and feedback to support the training, validation and continuous improvement of machine-learning models.
MarketMindz Inc.’s software is designed to provide predictive personalization, predictive product recommendations, real-time customer data analysis and tailored marketing messages. By analyzing customer profiles, transaction histories, product-page activity, category interests and engagement information, the platform helps businesses better understand customer preferences, deliver relevant recommendations and improve campaign performance.
Through continuous human-machine feedback loops, MarketMindz Inc. aims to improve model transparency, reduce algorithmic bias, protect brand identity and ensure that
Contact Information:
| Contact Name: Shaolin Cao | Type: Employer |
| Company: | |
| Web Site: https://marketmindz.tech | |