Talent.com
Stacktics Announces Partnership
AI Engineer (Google Cloud)Stacktics Announces Partnership • Toronto, ON, Canada
AI Engineer (Google Cloud)

AI Engineer (Google Cloud)

Stacktics Announces Partnership • Toronto, ON, Canada
30+ days ago
Job type
  • Full-time
Job description

Stacktics Inc is seeking a highly skilled and hands-on AI Engineer with proven experience in deploying AI/ML models on Google Cloud Platform (GCP), particularly using Vertex AI. The successful candidate will design, develop, and deploy AI-driven solutions that leverage data science, predictive modeling, and generative AI to solve complex business challenges.

The AI Engineer will be a key member of the Stacktics Data Analytics team, responsible for driving high-quality, efficient service and data analytics delivery. This role will focus on advancing and maintaining industry-leading standards while expanding the company’s advanced analytics workflows and capabilities to support growth and innovation.

Key Responsibilities

  • AI/ML solution design: define technical direction, architecture, and strategy for AI/ML initiatives, ensuring alignment with business objectives.
  • Apply Bayesian modeling techniques to develop probabilistic models for prediction, classification, and decision-making under uncertainty.
  • Leverage data analytics to extract insights, define KPIs, and guide model development using statistical and machine learning approaches.
  • Develop and fine-tune transformer-based and generative AI models, applying prompt engineering, vector-based retrieval, and embedding techniques for improved accuracy.
  • Prototype and evaluate AI solutions using proofs of concept and pilot projects to validate impact before full deployment.
  • Design experiments to measure model efficacy, balancing accuracy, interpretability, and computational cost.
  • Integrate AI solutions with enterprise-scale data pipelines, ensuring scalability, reliability, and compliance.
  • Research emerging AI/ML technologies and contribute to build-vs-buy decisions for tools, frameworks, and cloud services.
  • Collaborate cross-functionally with data scientists and data engineers to ensure seamless delivery of AI-powered features.
  • Develop and maintain scalable data pipelines and ETL processes in collaboration with engineering teams.
  • Create and maintain dashboards and data visualizations to support business decision-making using tools such as Looker.
  • Lead the implementation and management of our marketing analytics stack, including Google Tag Manager (GTM) and Google Analytics 4 (GA4).
  • Identify patterns from historical data, generate and test hypotheses, and provide product owners with actionable insights.
  • Design testing processes, create and execute test cases for advanced analytical workflows.
  • Troubleshoot and resolve issues and defects.

Company-Wide Responsibilities

  • Maintain and exceed client satisfaction with Stacktics’ deliverables, day-to-day work, and overall value as a partner.
  • Cultivate opportunities for company growth and seek areas where Stacktics’ role could be expanded.
  • Adapt to ever-changing client needs and expectations.
  • Maintain dedication toward achieving excellence in delivering client solutions and overall organizational success.
  • Be an enthusiastic, positive, and collaborative teammate and mentor who is always eager to learn.
  • Stay up-to-date on relevant technologies, engage with user groups, and understand trends to ensure we are using the best possible techniques and tools.

Preferred Qualifications

Candidates with the following qualifications will be given preference:

  • Hands-on experience with GCP’s MLOps stack, including CI/CD pipelines, Vertex AI, BigQuery, and Cloud Storage.
  • Strong knowledge of time-series forecasting, causal inference, or incrementality measurement.
  • Relevant Google Cloud certifications such as Professional Machine Learning Engineer or Professional Data Engineer.

Qualifications

  • 4+ years of experience in AI/ML, data analytics, with a proven track record of driving measurable impact.
  • 3+ years of hands-on experience with Bayesian modeling and probabilistic inference techniques.
  • Proficiency in Python and experience integrating AI models with cloud AI platforms ( Google Vertex AI)
  • 3+ years of experience using SQL, with a strong ability to write large, dynamic analytical queries.
  • Experience with solution architecture design and cloud-native ML system deployment.
  • Ability to design and automate CI/CD pipelines for ML using Vertex AI Pipelines, Cloud Build, or similar tools.
  • Exposure to generative AI applications for data-driven insights and automation.
  • Understanding of responsible AI principles and bias mitigation techniques.
  • Experience working on a cloud platform (GCP preferred).
  • Deep understanding of Google Marketing Platform (GTM, GA4, GA360) and their implementation is a strong asset.

What\'s In It For You?

  • Flexible Remote Working Policy (within Canada)
  • 100% employer-paid benefits package
  • Regular Lunch and Learns from your Team Mates
  • Standing desks
  • Fully-loaded kitchen: snacks/fruit/drinks
  • Awesome Employee Events and Activities
  • Participation in Community Engagement
#J-18808-Ljbffr
Create a job alert for this search

AI Engineer (Google Cloud) • Toronto, ON, Canada

Similar jobs

AI Platform Engineer

Quality IT ResourcingToronto, ON, Canada
Full-time

Toronto (hybrid 2-3 days/week).Full-stack or systems engineering experience with production-grade applications.Practical experience with AI/LLM integration (e.Experience designing and implementing ... Show more

 • Promoted

AI Solutions Engineer - Google Cloud Expertise

Syndesus, Inc.Toronto, ON, CA
Full-time

Lead innovative AI projects as an AI Solutions Engineer specializing in Google Cloud.Construct enterprise-scale AI solutions that address real business challenges in a dynamic environment.This posi... Show more

 • Promoted

Lead Cloud Services & AI Engineer

AutodeskToronto, ON, CA
Full-time

A leading design and software company is seeking a Principal Software Developer in Toronto, Canada.This role will focus on developing and maintaining the Autodesk Fusion Manufacturing Data Model an... Show more

 • Promoted

Junior AI Engineer in Google Cloud

GuruLinkRichmond Hill, York Region, CA
Full-time

Launch your career as a Junior AI Engineer in Richmond Hill, Ontario, focusing on developing innovative AI solutions within the Google Cloud ecosystem.Collaborate with experienced teams on exciting... Show more

 • Promoted

AI Cloud Architect - Build Next-Gen AI in the Cloud

ArchitechToronto, ON, CA
Full-time

A leading technology firm in Toronto is seeking an experienced architect to design AI-enabled applications and guide cloud modernization efforts.You will work with diverse teams, leveraging tools l... Show more

 • Promoted

Engineer Specializing in Cloud Development and AI Integration

SoftchoiceToronto, ON, CA
Full-time

Drive the evolution of software solutions through advanced cloud development and AI technologies.A motivated Engineer is needed to create impactful products with an agile mindset.This position cent... Show more

 • Promoted

Senior Cloud Engineer for AI Infrastructure

HuaweiMarkham, ON, CA
Full-time

Transform AI workloads with Huawei Canada's Senior Engineer role focused on cloud infrastructure.Engage in research-driven projects that shape the future of cloud technologies.As part of Huawei’s D... Show more

 • Promoted

AI Engineer

Colliers InternationalToronto, ON, CA
Full-time

As an AI Engineer at Colliers, you will architect and deploy sophisticated AI agents and generative workflows to revolutionize business operations.You will work closely with business stakeholders t... Show more

 • Promoted

AI Agentic Developer - GSPANN Technologies, Inc

GSPANN Technologies, Incnewmarket, on, ca
Full-time

Headquartered in California, U.GSPANN is a leading provider of consulting and IT services to global clients.We specialize in helping clients transform their IT capabilities, optimize business pract... Show more

 • Promoted

Generative AI solutions in Cloud environments

Saransh IncToronto, ON, CA
Full-time

Role: GenAI Engineer with a Data Engineering background and experienced in building Generative AI solutions in Cloud environment.Job Posting Description: GenAI engineer –.Looking for a GenAI Engine... Show more

 • Promoted

Cloud Systems and AI Engineer

The Portfolio GroupToronto, ON, CA
Full-time

Cloud Systems and AI Engineer (51655CN) Toronto, Canada.Salary: CAD90000 - CAD110000 per annum.The Cloud and AI Engineer will be responsible for architecting, developing, and deploying AI-powered s... Show more

 • Promoted

Senior Engineer-Cloud AI Infrastructure

HuaweiMarkham, ON, CA
Permanent

Huawei Canada has an immediate permanent opening for a Senior Engineer.Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada.Th... Show more

 • Promoted

Generative Ai Developer At Google Cloud

GoogleToronto, Canada
Full-time

Become a key player in the AI revolution with Google Cloud as a Forward Deployed Developer III.This role utilizes your expertise in Python and cloud solutions to create impactful AI systems.Located... Show more

 • Promoted

Senior Software Engineer – Agentic AI Foundations

SocureGreater Toronto Area, Canada, Canada
Full-time

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts.The mission is big, the problems ar... Show more

 • Promoted

Azure Google AI/ML Associate Platform Engineer I

TDToronto, ON, CA
Full-time

Work Location:Toronto, Ontario, CanadaHours:37.Line of Business:Technology SolutionsPay Details:$81,600 - $115,200 CADTD is committed to providing fair and equitable compensation opportunities to a... Show more

 • Promoted

AI Engineer (Google Cloud)

Stacktics Inc.Toronto, ON, CA
Full-time

Stacktics Inc is seeking a highly skilled and hands-on AI Engineer with proven experience in deploying AI/ML models on Google Cloud Platform (GCP), particularly using Vertex AI.The successful candi... Show more

 • Promoted

Forward Deployed Developer, Generative AI, Google Cloud

Google Inc.Toronto, ON, CA
Full-time

Forward Deployed Developer, Generative AI, Google Cloud.Toronto, ON, Canada; Montreal, QC, Canada.By applying to this position you will have an opportunity to share your preferred working location ... Show more

 • Promoted

Senior Engineer-Cloud AI Infrastructure

Huawei CanadaMarkham, York Region, CA
Permanent

Huawei Canada has an immediate permanent opening for a Senior Engineer.Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada.Th... Show more

 • Promoted

AI Engineer (Google Cloud)

Stacktics Announces PartnershipToronto, ON, CA
Full-time

Stacktics Inc is seeking a highly skilled and hands-on AI Engineer with proven experience in deploying AI/ML models on Google Cloud Platform (GCP), particularly using Vertex AI.The successful candi... Show more

 • Promoted

Lead Cloud Data Engineer for AI Systems

Stott and MayToronto, ON, CA
Full-time

Become the Lead Data Engineer at an AI-native organization and design cutting-edge data infrastructure for powerful enterprise solutions.Utilize your expertise to operationalize AI through innovati... Show more