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Builds and optimizes data pipelines in Azure/Databricks for clients, focusing on ETL/ELT, lakehouse solutions, and orchestration while bridging technical and business needs in a consulting environment.
Leads design and delivery of scalable data platforms in a hybrid Cape Town setting, focusing on automated pipelines, SSOT, and ML-ready data structures for advanced analytics and AI use cases.
Directors AI and Data Science focused on marketing measurement and effectiveness, leading a team to design, execute, and interpret marketing mix modeling, attribution, and experimentation programs using AI/GenAI in production, managing client relationships and scaling measurement solutions.
Director of AI & Data Science for Marketing Measurement & Effectiveness at Artefact, leading measurement programs, statistical modeling, and data science teams for clients, with a focus on marketing mix modeling, attribution, and AI applications in production environments.
Leads AI/ML engineering teams to design and deploy production-grade AI solutions (LLMs, classical models, agent systems) for consulting clients, focusing on architecture, context engineering, and fine-tuning pipelines while supporting pre-sales and strategy.
Build GCP data pipelines, AI/ML solutions and MLOps frameworks using Dataflow, Apache Beam, BigQuery, Kubeflow and Python. 13th August, 2026 Company Description Showtime Consulting is a leading provider of Shielded…
Build and maintain cloud-based data pipelines and feature stores to power customer analytics and propensity models for Bupa’s health insurance business.
Builds and maintains data pipelines and MLOps frameworks on Azure to enable model-driven customer personalization, migrating legacy systems while collaborating with stakeholders to drive insights across Bupa Australia’s healthcare platform.
Builds AI-driven development pipelines and agentic workflows using MCP, JavaScript/TypeScript, and Python, while advising clients on AI tool adoption and greenfield solutions.
Build an AI-augmented Quality Engineering framework using Python, LLMs, and MLOps to enable intelligent test generation, self-healing automation, and governance-as-code.
Leads design of scalable, AI-ready data architectures for enterprises, focusing on cloud platforms (AWS/Azure), Lakehouse solutions, and agentic AI/data patterns.
Leads a Data Science team to build and deploy AI-driven solutions for Sberbank’s salary-project client acquisition, overseeing full lifecycle from data research to production monitoring and business impact evaluation.
Build and deploy AI-powered healthcare platforms using LLMs, full-stack development, and MLOps in a remote role for a health-tech company.
Design and train transformer-based foundation models for particle physics using calorimeter data, optimizing for multi-task capabilities and computational efficiency in a collaborative EU-funded project.
Senior Applications Engineer designing reusable software tools and subsystems for federal clients, using CASE tools and formal specs to improve efficiency and reduce costs.
Builds and scales Generative AI systems, including LLM applications and research agents, using Databricks and Azure while ensuring responsible AI practices in a hybrid Toronto role.
Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries , built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than…
Designs and builds scalable data pipelines and infrastructure to power analytics and AI/ML at a global caller-ID app with 450M+ users, using Spark, Kafka, BigQuery, and Airflow.
Senior AI Engineer designs, builds, and deploys enterprise-grade AI systems (copilots, agents, retrieval workflows) using Python, LLMs, and cloud-native tools, ensuring production reliability and measurable business impact.
Lead a team to design, build, and deploy AI and data solutions on Databricks for enterprise clients, focusing on Lakehouse architecture, Mosaic AI, and production-grade systems.
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