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Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases like RAG and LLM integration.
Design and deploy AI/ML models for fintech domains like payments and liquidity management using Python, cloud platforms, and MLOps tools.
Fine-tune and deploy private AI models (LLMs, vision) using Python, Docker, and cloud platforms; maintain scalable, secure AI solutions with prompt engineering and responsible-AI practices.
Design and deploy AI/ML solutions (LLMs, semantic search, pricing analytics) to improve HR and commercial decisions using Python, MLflow, Databricks, and Power BI.
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as…
Build and scale distributed systems that power AI features for millions of users, integrating LLMs into production using Python, Spark, and Kubernetes.
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Design and deliver modern data platforms on AWS, Azure, and GCP, using cloud data warehouses, Spark, Kafka, and ML tools to build scalable analytics and AI solutions for enterprise clients.
Build and ship production-grade agentic AI systems on Azure AI Foundry and Databricks for an Australian insurer, owning architecture, pipelines, orchestration, and stakeholder communication.
Build and deploy production-grade ML models and pipelines to improve pet healthcare outcomes using Python, cloud platforms, and modern AI practices.
Senior Data Engineer builds and deploys Databricks-based Lakehouse data pipelines using Spark, Delta Lake, and dbt to productionize AI models and migrate enterprise data platforms.
Staff ML Engineer at Xero’s AI Products group designs scalable ML infrastructure and sets technical standards for LLM-powered features used by millions of small business customers.
Build and deploy AI infrastructure and services for Xero’s products, turning ML models into scalable production systems that serve millions of small-business users.
Build and deploy ML models in NLP, computer vision, and generative AI, integrating them into production apps via cloud APIs and frameworks like PyTorch and LangChain.
Design and build scalable data pipelines on Azure Databricks and Microsoft Fabric, mentor junior engineers, and deliver cloud-native analytics solutions for clients across finance, government, and other sectors.
Build and deploy scalable AI/ML systems, including LLM pipelines, RAG, and MLOps tooling, to production for a global lifestyle brand.
Builds and maintains cloud data pipelines on Azure Databricks, industrializes ML models with MLflow and Delta Lake, and collaborates with IT and business teams.
Build and deploy AI/ML models in Python and SQL to solve business problems, ensuring explainability and governance while collaborating with cross-functional teams.
Build and deploy AI-driven credit scoring, cash flow forecasting, and autonomous capital allocation models for a global private credit firm.
Designs and leads enterprise-scale AI and cloud data platforms for an airline industry client, leveraging Azure services like Databricks, OpenAI, and Delta Lake.
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