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The Generative AI Engineer at KPMG Israel builds end‑to‑end GenAI solutions, handling Python backend development, microservices, and cloud deployment on GCP/Azure/AWS while engaging with clients to translate business needs into AI applications.
We believe in the power and joy of learning At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose – driving…
Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps,…
Hands-on senior AI engineer building production-grade Generative AI systems on AWS for startup clients — RAG pipelines, LLM-powered backends, and agent workflows using Amazon Bedrock, AgentCore, Strands, and MCP. Owns projects end-to-end from design through production deployment and monitoring.
This is a remote position. We are looking for an experienced Senior Machine Learning Engineer to join our client and help further develop a successful, globally deployed recommender system. In this role, you will be…
Leads DevSecOps teams to integrate security into CI/CD, IaC, and AI/ML pipelines at a global ad-tech analytics firm, ensuring secure, compliant, and efficient software delivery while specializing in AI/ML security, cloud-native security, and automation.
Build meaningful data products and apply Machine Learning using Python, SQL, and AWS. The role involves data modeling and communicating insights to clients.
Designs and deploys cloud-native automation for Zscaler’s Zero Trust Exchange platform, integrating AI-driven workflows to streamline multi-cloud infrastructure provisioning, security enforcement, and lifecycle management across AWS/GCP/Azure.
Assess and document security controls for AI/LLM systems in AWS cloud environments, ensuring compliance with DoD and NIST standards while integrating security into DevSecOps pipelines.
Design and implement production-grade agentic AI systems (LLM-powered agents, RAG, multi-agent patterns) for enterprise clients, ensuring reliability, security, and measurable business outcomes.
Build and deploy production-grade agentic AI solutions like RAG pipelines and multi-agent workflows for enterprise clients, integrating with systems like CRM and ERP using Python and cloud-native AI platforms.
Designs and leads large-scale cloud data platforms for enterprises using Snowflake, AWS, and Azure, while mentoring teams and optimizing data workflows.
Senior Solutions Architect designs, operates, and optimizes cloud-native data platforms (Snowflake, Redshift) for enterprise clients, ensuring performance, security, and scalability while collaborating with cross-functional teams.
Design and deliver production-ready AI solutions for enterprises, from RAG and LLM apps to MLOps and agentic workflows, while guiding clients from experimentation to scalable deployment.
Design and lead end-to-end AI solutions for enterprise clients, translating business goals into scalable, production-grade AI systems while collaborating with cross-functional teams.
Lead end-to-end AI/ML architecture and deployment for enterprise clients, designing scalable, secure solutions and mentoring teams to deliver measurable business impact.
The Applied AI Solutions Architect leads the design and implementation of production-ready agentic AI solutions for enterprise clients. The role involves building reusable AI accelerators, establishing technical standards, and collaborating with cross-functional teams to deliver high-impact AI/ML projects.
Design, build, and operationalize production AI/ML systems for enterprise clients, translating architectures into clean Python and SQL code, integrating with cloud data platforms and APIs, and contributing to reusable accelerators and engineering standards.
Data Scientist for a financial services and insurance group in Johannesburg, turning business questions into models across finance and actuarial data — forecasting, cost analytics, anomaly detection and reporting intelligence. Core stack: Python/R, SQL, scikit-learn/XGBoost/TensorFlow, Azure ML/Databricks/SageMaker, Informatica, Power BI/Tableau.
Role Overview We are looking for a Senior Manager, Data Science to lead our advanced analytics, machine learning, and AI capabilities. In this role, you will build and lead a high-performing team of data scientists and…
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