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Leads AI/ML projects, builds predictive models, and drives data-driven decisions for a media-focused product company using Python, TensorFlow, and SQL.
Build predictive models and analyze large datasets to drive media-business decisions using Python, TensorFlow, and Tableau.
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.
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.
Design and build generative AI and data-science solutions using Python, TensorFlow/PyTorch, and LangChain, then deploy them as scalable microservices on AWS/GCP/Azure.
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.
Junior GCP Data/AI Engineer builds scalable data pipelines and ML models on Google Cloud, using Python, BigQuery, and Dataflow under senior guidance.
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 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.
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