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DevOps Engineer (AI Infrastructure)
Build and maintain CI/CD pipelines, cloud infrastructure, and Kubernetes clusters to automate and scale AI/ML workflows for a digital marketing agency.
Senior Devops Engineer
Build and automate CI/CD pipelines for deploying LLMs and AI agents on Kubernetes in a regulated banking environment using Docker, Terraform, and model serving platforms like vLLM.
Devops Engineer (Strong in Java & Python)
Build and automate CI/CD pipelines for deploying and managing AI models (LLMs, agents) in a secure banking environment using Kubernetes, Docker, and cloud platforms.
Full Stack Developers (AMK)
Builds and maintains scalable backend services in Go/Python and integrates ML models into production for AI/LLM-powered products, while also developing React-based UIs.
Platform Engineer (DevOps / MLOps Focus)
Build and maintain cloud-native infrastructure for AI/ML platforms using Kubernetes, Terraform, and CI/CD pipelines, collaborating with engineering and data teams to optimize deployments.
Software Developer Python DevOps (all genders welcome)
Develop and automate Python-based DevOps pipelines for pipeline-inspection systems using Docker, Kubernetes, and Azure DevOps.
MLOps & AI Platform Engineer
Build and automate scalable MLOps platforms and AI infrastructure, deploying ML pipelines on Kubernetes and cloud-native environments to support data scientists and AI engineers.
Lead Data Scientist
Lead a team to design, build, and deploy AI models for Saudi Aramco’s business units, turning data into predictive insights and production-ready solutions.
Applied AI Engineer
Build and deploy AI models to improve player experience in Kammelna Games, including churn prediction and personalization, using Python, ML frameworks, and MLOps tools.
AI Solutions Engineer, Office of the Group CEO
Build production-grade AI tools and data pipelines for the Group CEO, turning executive problems into reliable LLM-enabled workflows and decision-support systems while aligning with maritime and trading operations.
Data Scientist
Build, deploy, and maintain production-grade ML models and MLOps pipelines using Python, Docker, Kubernetes, and cloud platforms.
Back-End Developer with AI Experience
Build and maintain scalable back-end systems and APIs, integrating AI/ML models into production applications for a remote-first startup.
Big Data Engineer
Design and build end-to-end big-data pipelines using Spark, Python/Scala, Airflow, and cloud platforms (AWS/Azure/GCP) to process and store data at scale.
Streaming Data Engineer
Build end-to-end streaming data pipelines using Kafka, Flink, Spark Streaming and cloud services to process real-time data and deliver low-latency insights for enterprise clients.
DevOps Engineer
Build and operate the cloud infrastructure, CI/CD pipelines, and Kubernetes clusters that power Blitzy’s AI agent platform, enabling autonomous software development at scale.
DevOps AI
Designs and maintains cloud infrastructure and CI/CD pipelines to deploy and operate AI models in production, collaborating with AI teams and automating ML workflows.
AI SRE
Build and maintain AI infrastructure for model hosting, training, and serving at scale using Kubernetes, cloud platforms, and GPU orchestration.
SENIOR AI/ML ENGINEER - Build Production AI Products Used by Millions of Gaming Players Worldwide – DURBAN – R1.5m – R1.6m
Senior AI/ML engineer builds production AI systems for a global iGaming company, deploying recommendation engines, LLMs, and AI agents that power player experiences used by millions.
Senior AI/ML Engineer — Build Production AI for iGaming
Senior AI/ML Engineer builds and deploys production AI systems for an iGaming company, focusing on recommendations, LLM apps, and agents using AWS SageMaker, Airflow, Kubeflow, and LangChain.
Senior ai/ml engineer - build production ai products used by millions of gaming players worldwi[...]
Build and deploy production AI systems for a global gaming platform, including LLMs, recommendation engines, and AI agents that personalize player experiences.