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Data Architect with Azure and Databricks
Design and build scalable cloud data platforms using Azure, Databricks, and Microsoft Fabric, integrating governance, security, and cost controls while collaborating with engineers and analysts.
MLOps Engineer
Build and maintain ML pipelines and AI infrastructure for banking products, using Kubernetes, Docker, Terraform, and cloud platforms to deploy and monitor ML models at scale.
Machine Learning Deployment Engineer
Build and secure CI/CD pipelines and cloud infrastructure to deploy ML-driven robot control software, ensuring rapid iteration and robust operations.
AI Engineer
Build and scale Generative AI-powered systems, including LLM applications and research agents, using Databricks, Azure, and modern MLOps practices in a hybrid Toronto role.
Senior Data Engineer
Design and build scalable data pipelines and platforms to power analytics and AI systems using cloud technologies like AWS, Databricks, and Snowflake.
Machine Learning Engineer
Build and maintain ML models to analyze 4G/5G network performance, troubleshoot issues, and create dashboards for stakeholders using Python, Spark, and cloud tools.
Principal AI Engineer
Principal AI Engineer designs and builds a centralized AI platform and agentic frameworks for healthcare use cases, integrating clinical NLP, structured evidence graphs, and policy engines while ensuring regulatory compliance.
Senior Data Scientist (AI Safety)
Build AI-safety guardrails for Sber’s agentic AI risk-management system: tune LLMs, deploy detectors against prompt injections and hallucinations, and lead a team to harden enterprise-scale AI.
Lead AI & Data Platform Engineer - Marketplace (Remote)
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Senior Site Reliability Engineer
Senior SRE builds and maintains Voleon’s AI research compute clusters, ensuring 24/7 uptime and performance for ML workloads across on-prem and cloud using IaC, observability stacks, and SRE practices.
Senior Software Development Engineer, DevOps (Remote)
Build and maintain scalable cloud infrastructure for AI/ML video systems using Kubernetes, GPU workloads, and MLOps pipelines.
Data Engineer (Databricks) (Remote)
Builds and maintains Databricks Lakehouse data pipelines and AI foundations for clients, designing medallion architectures, Delta Lake tables, and Unity Catalog governance to power analytics and AI-enabled products.
Data Engineering Architect
Design and lead enterprise-scale data platforms (Lakehouse, Data Mesh) and ML pipelines using cloud tools (AWS/GCP/Azure), then mentor teams to deliver analytics and data products for ad-tech clients.
AI Solution Engineer
Build and deploy AI/ML models to modernize British Army training, integrating them into secure systems and automating workflows with Python, ML frameworks, and MLOps tooling.
Senior Machine Learning Operations Engineer
Build and operate production-grade ML platforms on AWS/Azure, turning research prototypes into reliable, scalable systems for global retail brands.
Sr. Manager, AI/ML Engineering
Lead a team to design, build, and deploy scalable ML/AI solutions that drive real-time insights and business impact for McDonald’s global data platform.
Manager, AI/ML Engineering
Build, train, and deploy ML models for McDonald’s global data platform, focusing on scalable MLOps pipelines and real-time customer insights.
Senior Machine Learning (ML) Ops Engineer
Build and automate ML infrastructure for a fintech AI startup, deploying scalable pipelines with Kubernetes, Docker, and cloud services to deliver real-time financial insights.
Senior Machine Learning Engineer, MLOps
Build and maintain scalable MLOps pipelines on GCP using Vertex AI, Airflow, Kubeflow, and MLflow to deploy, monitor, and retrain ML models for enterprise use.
Data Scientist
Senior Data Scientist builds and optimizes scalable ETL pipelines with PySpark and Databricks, designs ML models for retail demand forecasting, and collaborates with stakeholders to deploy production-grade forecasting systems.