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Design, validate, and deploy AI/ML models in Python using TensorFlow/PyTorch to solve business problems in Doha.
Build and scale production-ready ML infrastructure for ASR and LLM systems, collaborating with research and MLOps teams to deploy robust AI workflows.
Design and build generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing unstructured data for scalable production deployments.
Senior ML Engineer builds and fine-tunes AI models for financial services, from data prep to serving, using Python/R and PyTorch/TensorFlow.
Build and deploy ML systems for crypto-exchange compliance, including AML monitoring and KYC risk scoring, using on-chain and fiat data with LLM-assisted tooling.
Build and operate an internal AI platform for LLM and agentic applications, including retrieval, deployment, and monitoring, using Python, FastAPI, and cloud services.
Build and maintain an internal AIOps/ML/LLM platform, including Kubernetes infrastructure, ML workflows, and production deployment for cybersecurity use cases.
Build and evaluate AI agent architectures that work reliably across different models, providers, and environments, focusing on portability, interoperability, and optimization.
Senior ML Engineer to research and build AI models for physical systems like robots, combining reinforcement learning, multimodal models, and real-world robotics in a collaborative research environment.
Build production ML systems to predict cybersecurity threats and prioritize risks using predictive models, large datasets, and MLOps pipelines.
Designs and builds AI/ML applications in Python, optimizes performance, and collaborates with distributed teams in a full-time remote role.
Build and optimize tiny, ultra-efficient AI models for on-device computer vision and multimodal LLMs, shipping features like People Detection and Video Search to millions of cameras.
Build and scale real-time AI systems for crypto market intelligence, using LLMs, RAG, and streaming pipelines to turn social signals into actionable trading insights.
Develops bioinformatics pipelines and AI/ML data engineering for genetic testing insights in a research and clinical setting using Python, R, SQL, and UNIX/Linux.
Architects and deploys scalable GenAI and ML systems for smart manufacturing, focusing on distributed training and robust pipelines in cloud/on-prem environments.
Build AI-driven cybersecurity tools using LLMs and Python to automate threat detection, vulnerability analysis, and compliance workflows for connected devices.
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
Build and operate an internal AI platform for a fintech company, designing retrieval layers, agent runtimes, and deployment pipelines using Python, FastAPI, and cloud services.
Build and deploy production-grade AI systems, including agentic workflows, RAG pipelines, and LLM integrations using Python, TensorFlow, and PyTorch.
Build and optimize low-latency, high-throughput ML inference services for CTR/CVR prediction and generative recommendation using LLMs, focusing on GPU acceleration and end-to-end pipeline optimization.
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