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Senior AI Platform Engineer (Cloud) - KE
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten African countries, focusing on FinOps, zero-trust security, and agentic AI infrastructure.
Senior Software Developer (Python)
Build cloud-native Python services and APIs that power data-driven network analytics, forecasting, and AI at a major media and entertainment company.
Principal AI Data Engineer
Principal AI Data Engineer builds and deploys GenAI, RAG and agentic AI prototypes using Azure AI Foundry, Databricks Mosaic AI and LangChain on Azure cloud.
Azure ML Engineer
Build and maintain ML pipelines on Azure and Databricks, deploy models, and set up MLOps processes for a higher-education group.
Senior MLOps Engineer | Ingénieur·e MLOps senior
Build and automate end-to-end ML pipelines for retail analytics and forecasting, integrating Oracle, Snowflake, and AWS with Kedro, MLflow, and Docker.
Senior Data Engineer
Design and build scalable data pipelines and lakehouse/warehouse architectures to power analytics, dashboards, and AI models using AWS, Databricks, and Snowflake.
Senior MLOPs
Build and deploy GenAI/NLP pipelines for Elsevier’s life-science products, orchestrating ML workflows on AWS/Azure, managing vector/graph search, and enforcing content rights and confidentiality.
Senior Manager, Credit Cards Analytics & Insights
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your…
Data Scientist (Computer Vision)
Build and deploy computer-vision models using deep learning frameworks like PyTorch/TensorFlow to classify images, detect objects, and segment scenes for AI applications.
Amazon Applied Scientist , AWS Marketing Science
As an Applied Scientist II specializing in lead scoring and deep learning modeling, you will build and improve machine learning models that power how our business engages with customers. You will develop predictive…
AI/ML Engineer | Talent Marketplace
Design, build, and deploy ML models and AI systems for a global talent marketplace, spanning data prep to production monitoring using Python, TensorFlow/PyTorch, and MLOps tooling.
MLOps Architect: Enterprise AI Platform Lead
Design and build enterprise-grade MLOps platforms to automate the full ML lifecycle from data prep to retraining and governance using cloud-native tools like Kubernetes, CI/CD, and IaC.
AI Engineer - Gen AI & Agentic Solutions
Build and deploy generative AI and agentic workflows (RAG, conversational AI) on Databricks/AWS to improve wealth-management services, integrating enterprise data and tools securely.
Engineer II /Senior Software Engineer, Simulation
Build and maintain a discrete-event simulation platform to test scheduling and fleet-coordination algorithms for autonomous lab workflows, ensuring reproducibility and fast iteration.
Data Engineer - Databricks
Build and optimize Databricks Lakehouse pipelines for clients, turning raw data into governed, AI-ready assets using PySpark, Delta Lake, and Unity Catalog.
Senior Devops / MLops Engineer
inviol is one of New Zealand's fastest-growing startups, on a mission to save lives by turning AI insights into safer worksites. We plug into the CCTV cameras a business already has, spot the risky moments no one…
Data Scientist, AI
Build and deploy generative AI systems using LLMs, RAG, and agentic workflows to improve customer experience and operational efficiency at Virgin Australia.
DevOps Engineer
Build and scale the cloud and AI infrastructure for a Zero Trust security platform, including Kubernetes, CI/CD, observability, and MLOps tooling while mentoring engineers to own the platform long-term.
Senior machine learning engineer
Build and deploy ML models using Python, TensorFlow/PyTorch, and cloud tools; engineer features, optimize pipelines, and productionize AI systems with MLOps.
Senior machine learning engineer
Build and scale ML systems, deploy models in production, and improve ML infrastructure using Python, Kafka, Kubernetes, and MLOps tools.