Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Designs and leads enterprise-scale cloud data platforms and AI systems for an airline, focusing on Azure, GenAI, and modern data architecture.
Builds and deploys production-grade AI, ML, generative AI, and computer vision systems for a hospital, integrating with EHR, imaging, and clinical workflows while ensuring safety and scalability.
Lead a team of AI engineers to design and deploy enterprise-scale Agentic AI and GenAI solutions for Fortune 500 clients, setting MLOps standards and advising C-level executives on AI strategy.
Build, deploy, and monitor ML/AI models and GenAI systems using Python, TensorFlow, PyTorch, and MLOps tooling like MLflow and Kubernetes.
Lead AI-native transformation at a global tech services firm, defining architecture, engineering practices, and client-facing AI solutions while shaping the company’s AI vision and market positioning.
Lead the design and deployment of advanced AI models, including LLMs and multimodal systems, using deep learning and statistical methods to solve complex business and research challenges.
Build and deploy production-grade ML systems, including LLMs and GenAI, from experimentation to live inference while integrating with core product features.
Build and maintain scalable data pipelines using Kafka, Spark, Airflow, and Python to power AI/ML products, fraud detection, and recommendation engines in a hybrid Dubai role.
Build and maintain scalable data pipelines for AI/ML products, fraud detection, and recommendation engines using Kafka, Spark, Airflow, and Python in a hybrid Dubai role.
Builds and deploys ML models end-to-end using Python, ML frameworks, and MLOps tooling, focusing on scalable APIs and containerized deployments.
Lead cloud-native DevOps, SRE, and platform engineering for a fast-growing logistics unit within a large retail group, building scalable CI/CD, Kubernetes, and observability platforms on GCP/AWS/Azure.
Lead the DevOps and platform engineering team at 1inch, building AI-driven, autonomous cloud infrastructure and Kubernetes environments to power DeFi protocols and APIs.
Build and secure Azure landing zones, CI/CD pipelines, and MLOps/LLMOps automation to safely deploy AI agents and apps across sandbox, staging, and production environments.
Build and maintain enterprise-grade CI/CD pipelines and Kubernetes/OpenShift platforms for a regulated fintech environment, automating deployments, security scans, and infrastructure with Terraform, Jenkins, and GitOps.
Build and operate sovereign AI infrastructure for government clients, deploying GPU clusters in air-gapped data centers and cloud (Azure/GCP) using Kubernetes, GitOps, and offline artifact pipelines.
Designs and maintains Azure cloud infrastructure, CI/CD pipelines, and AI/ML environments using Terraform, Kubernetes, and Azure DevOps to ensure scalable, secure deployments.
Builds and maintains Python-based data pipelines and time-series databases to process automotive manufacturing data and support MLOps workflows for Bosch’s mobility products.
Build and deploy AI systems using semantic search, RAG, and multi-agent workflows with LLMs and NLP/NLU techniques in Python and cloud platforms.
Build and deploy production-grade AI/ML models using Python, TensorFlow, PyTorch, and MLOps tooling for scalable, real-world applications.
Build and deploy ML models for financial forecasting, risk analysis, and strategic decision-making using Python, time-series techniques, and cloud platforms.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
