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Senior AI/ML Engineer builds, validates, and deploys machine learning and deep learning models using Python, TensorFlow, and PyTorch to power AI-driven products and business solutions.
Designs, builds, and validates AI/ML models and deep learning algorithms to power data-driven solutions for a media-focused company.
Senior Data Scientist builds and deploys ML models and analyzes large datasets to extract insights for media products, using Python, SQL, and frameworks like TensorFlow and Scikit-learn.
Lead AI/ML model development and deployment for media products, mentor engineers, and ensure compliance with data governance and security standards.
Senior Data Scientist building ML models to optimize flight operations, on-time performance, and maintenance costs using Python/R/SQL and TensorFlow/PyTorch.
Build, validate, and deploy AI/ML models in Python using TensorFlow/PyTorch to power business solutions in Doha.
About the Role You’ll work alongside experienced engineers to improve our AI-enabled plan ingestion pipeline—from raw PDFs to clean, dependable outputs that power takeoff, design, and downstream automation. You’ll…
Lead a team building generative AI and data-science solutions using Python, LLMOps, and cloud services; design multi-agent patterns, reasoning loops, and scalable microservices.
Lead AI Engineer designing and implementing generative AI and data-science solutions, including multi-agent systems, reasoning loops, and MLOps tooling in Python/Java with cloud providers.
Build and deploy ML models, LLMs, and AI agents using Python, MLOps, and cloud platforms (Azure/AWS) for enterprise clients.
Build and maintain scalable data pipelines and production-grade ML systems for clinical trials, pharmacovigilance, and drug manufacturing at a global pharma company.
Build and run the AIOps platform that keeps AI models, LLM pipelines, and agents reliable, scalable, and cost-efficient in AWS/Azure.
Build and maintain data pipelines and warehouses for AI projects, using PySpark, Databricks, and Azure services to centralize and process large datasets.
Build and deploy ML models and agentic systems to improve clinical trial success rates using Python, FastAPI, TensorFlow/PyTorch, and AWS.
Build and deploy production-grade AI systems end-to-end, from data pipelines and ML models to scalable deployment and monitoring using Python, PyTorch, and MLOps tools.
Senior full-stack developer building and maintaining web apps, handling front-end, back-end, DevOps, and cloud deployments with modern stacks and AI integrations.
Build and deploy AI-driven data analytics and generative AI solutions on Azure and GCP, including MLOps pipelines and agentic AI workflows.
Builds and optimizes a Python-based AI pipeline to convert unstructured PDFs into editable .docx files, integrating OCR engines and Vision-Language Models while preserving visual and structural intent.
Build and optimize Meta’s AI systems by applying deep expertise in ML infrastructure and hardware acceleration to enhance product experiences.
Build and deploy AI/ML systems for finance, using LLMs, prompt engineering, and neural networks with Python, TensorFlow/PyTorch, and cloud platforms.
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