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AI Engineer / Backend Developer
Backend/AI engineer at Mindsight Ventures (Barcelona, hybrid) building AI-driven systems and backend infrastructure for internal and client projects: designing APIs and data pipelines, deploying ML models with MLOps, and scaling on cloud (Azure preferred) using Node.js/TypeScript or Python, Docker, and modern RAG/vector-DB patterns.
Software Engineer
Junior-to-mid back-end engineer at Echobox, building and scaling the server-side services behind the company's AI-powered products for online publishers. Day-to-day involves back-end development with Python/Java/Node.js, SQL/NoSQL databases, REST APIs and microservices, cloud deployment (AWS/GCP/Azure), and collaboration with data scientists.
Sr. Machine Learning Engineer, Recommendation Systems
Builds and optimizes AI-powered recommendation systems for a platform used by 600M monthly users, focusing on ranking algorithms, search, and scalable ML pipelines.
Sr. Machine Learning Engineer, Ads
Builds and optimizes AI-powered advertising systems using Grok models for candidate selection, ranking, auctions, and campaign optimization in a high-throughput, revenue-driving role.
Senior Big Data Software Engineer (Snowflake + DBT)
Senior data engineer designing and maintaining scalable data warehouse and ELT pipelines that power analytics and business decisions. Day-to-day work centers on Snowflake, dbt, SQL, Python, and Apache Airflow on AWS, with emphasis on performance, data quality, and cost efficiency.
Principal AI Research Cybersecurity Scientist (Bay Area)
A hands-on research scientist role at Alice (a trust, safety & AI-security company) running rapid research cycles on frontier AI models — designing benchmarks, evaluation frameworks and experiments for LLMs, reasoning and agents — with a security focus such as red teaming and adversarial ML. Core stack: Python and PyTorch.
Principal AI Research Cybersecurity Scientist (Bay Area)
Principal-level, hands-on researcher at Alice (ActiveFence), an AI trust & safety company, running rapid research cycles on frontier AI models — designing LLM benchmarks, evaluation frameworks, and security-focused experiments (red teaming, adversarial ML) and translating customer challenges into validated findings. Core stack: Python, PyTorch, LLM evaluation.
Senior Software Engineer - Data and AI Platforms
Senior engineer on lululemon's Enterprise Data & AI team in Vancouver, designing and building data platforms, semantic models (knowledge graphs, ontologies), and LLM retrieval systems (RAG/GraphRAG, semantic search) that power the retailer's enterprise AI capabilities. Onsite at least 4 days/week; pays $132.6k-$174k annually.
Google Big Data Platform Engineer II
Onsite platform engineer at TD Bank's internal tech team, building and automating a Google BigQuery big-data platform: writing Python/Terraform/GitHub Actions orchestration, automated security tests, IAM compliance, and cloud networking support across GCP and Azure in an Agile DevOps setup.
Google Big Data Platform Engineer II
Platform engineer on TD's internal cloud team building and automating the Google BigQuery platform across GCP and Azure: writing orchestration code in Python and Terraform, CI/CD pipelines with GitHub Actions, automated security tests, and self-service automation while handling IAM, networking, and compliance.
Senior Data Platform Engineer & AI Lead
Lead the design and build of a new data engineering platform for Tangerine (Scotiabank's banking brand), supporting analytics and production ML workloads on modern cloud platforms. Day to day: architect secure, scalable data pipelines, mentor engineers, and partner with data scientists and product teams.
Staff Data Engineering Technical Lead
Staff-level data engineering lead at Capital One's Toronto team: owns technical design for fault-tolerant, multi-platform enterprise applications, applying data modeling and architecture expertise in Python on AWS, while supporting machine learning and conversational AI initiatives in a regulated financial-services environment.
Staff Engineer - Data Engineering Staff
Capital One is hiring a Staff Data Engineer in Toronto to act as a tech lead, owning technical design and development of cross-functional, multi-platform, fault-tolerant data systems for banking. Core stack: 6+ years with Python/Java/Go, AWS (preferred) or Azure/GCP, plus data design, modelling and architecture.
Senior Databricks Data Platform Engineer
Senior platform engineer who owns and automates Databricks environments end to end in Montreal — Unity Catalog governance, compute strategy, CI/CD with Terraform and Azure DevOps/GitHub Actions, FinOps cost optimization, Delta Lake performance tuning, plus AI-agent-driven operations built on Databricks Mosaic AI and MCP.
Staff Data Engineer - Retail Media Platform
Staff Data Engineer on Loblaw's Retail Media Platform team, leading hands-on design of large-scale data platforms, pipelines, and backend services powering measurement, reporting, analytics, and AI features. Core stack includes SQL, Python/Scala/Java, cloud data platforms (GCP: BigQuery, Dataproc, Airflow), Spark, and Kafka.
Senior Power Systems Data Engineer
Senior engineer/analyst on AESO's Grid Analytics team in Calgary, combining data engineering, business intelligence, and Python development to build BI platforms, visualizations, and market simulation tools supporting Alberta's power grid operations, planning, and reliability.
Principal Data Engineer
Principal Data Engineer at Tangerine (Scotiabank's digital bank) in Toronto: leads the design and hands-on build of a new data engineering platform enabling business analytics and production AI/ML. Core focus on data pipelines, warehousing, and cloud platforms (GCP, AWS, Azure), plus technical leadership and mentoring.
Senior Data Engineer Toronto
Senior Data Engineer owning Clutch's end-to-end data platform at Canada's largest online used-car retailer — building reliable ELT pipelines, warehouse models, and DevOps/observability practices with Snowflake, dbt, Airflow, Python, and AWS to power analytics, pricing, and financial services. Hybrid role, three days a week in downtown Toronto.
Senior Data Engineer/Data Architect at Oshawa
Senior Data Engineer at Ontario Power Generation in Oshawa builds and supports ELT/ETL pipelines, data lake and data warehouse products for reporting and analytics, using the Azure stack (Data Factory, Synapse, Databricks) plus Python, Spark and SQL, with CI/CD, data governance and production support duties.
MLOps / Data Engineer
MLOps/Data Engineer on Triton Digital's listener data team, productionizing machine learning for audio-advertising audience signals: building CI/CD pipelines for ML workflows, optimizing large-scale data processing with Apache Spark, and managing Databricks environments. Core stack is Python, Spark, Databricks, and cloud platforms. Must be based in Ontario or Quebec.