Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Data Scientist – Job Description (10+ Years Experience) Job Title: Data Scientist Experience Level: 10+ years of relevant experience in Data Science, Machine Learning, and Advanced Analytics Location: Canada Role…
Company Sixone’s mission is to enable a world where blended plastics products can be circularly recycled back into existing supply chains instead of being sent to landfill. Sixone is developing technologies to enable…
About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence…
Staff AI/ML Engineer at lululemon defining AI/ML engineering strategy, standards for model development, training infrastructure, serving, and GenAI system architecture across a vertically integrated retail ecosystem.
The AI Engineer will design, develop, and deploy production-grade Agentic AI and Generative AI systems for BMO Capital Markets. The role focuses on building scalable AI platforms, LLM-based applications, and orchestration frameworks to support investment banking and global markets.
Business Unit: Store Support Centre (SSC) Time Type: Full-time Description & Requirements Who we are lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits.…
Description & Requirements Who we are lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we…
Builds and deploys AI/ML systems for lululemon’s retail ecosystem, covering dataset curation, model training, and production monitoring. Focuses on scalable solutions for classification, regression, and generation tasks using cloud platforms and distributed frameworks.
Requirements Description & Requirements Who we are lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and…
AI/ML Engineer at lululemon designing and implementing end-to-end ML systems across the full model lifecycle—training, deployment, and monitoring—using Python, PyTorch, distributed training frameworks, and cloud ML platforms like SageMaker, Vertex AI, and Azure ML.
Architect and build scalable ML platforms on Azure Databricks for financial-services clients, designing MLOps pipelines, model serving, and enterprise integrations using Python/Scala/Java, Spark, and MLflow.
Staff Data Scientist/Engineer builds and deploys AI/ML systems for UKG’s workforce management platform, focusing on large-scale workforce data analysis, generative AI, and agent-based workflows to drive measurable business impact.
Builds full-stack features for Databricks' data/AI platform, focusing on scalable UI/UX and distributed systems to simplify insights from petabyte-scale data.
Builds and deploys large-scale AI agent systems using Databricks, integrating LLM/ML models into enterprise workflows to drive business productivity for clients like Metro and STM.
Lead an ML engineering function building predictive maintenance and fault detection systems, owning end-to-end technical delivery from backend infrastructure to React frontends, with hands-on work in Python, MLflow, AWS SageMaker, Docker, Spark, and Kafka.
The Senior Data Architect will lead the design and delivery of modern data platforms, acting as a Databricks champion to guide engineering teams and support pre-sales activities. The role involves creating scalable data architectures, defining best practices, and communicating complex solutions to senior client stakeholders.
Research Engineer builds and scales ML training systems for voice AI models (STT/TTS), automates pipelines, and creates internal tools to accelerate research and deployment.
The Data Engineer will design and build scalable, cloud-native data platforms and ingestion pipelines using Python, Spark, and cloud technologies. The role involves optimizing data infrastructure, implementing CI/CD practices, and collaborating with ML teams to support AI-ready data workflows.
The Senior Data Science Engineer will work as a consultant to design, build, and deploy scalable machine learning solutions for public and private sector clients. The role involves leading technical squads, implementing MLOps pipelines, and mentoring junior engineers using Python and cloud-based ML tools.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
