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Design and deploy AI models using Python and frameworks like TensorFlow/PyTorch to solve complex problems and enhance products.
Design, validate, and deploy AI/ML models in Python using TensorFlow/PyTorch to solve business problems in Doha.
Build AI-powered tools to accelerate hardware design and testing workflows using Python, TypeScript, and vector databases.
Builds and deploys real-time computer-vision systems in C++, tuning deep-learning models and integrating them into production pipelines.
Build and deploy AI/ML systems for classified missions, translating user workflows into LLM-powered or agent-based automation that integrates with existing platforms.
Senior data scientist builds and deploys ML models and experiments to optimize lending decisions and cash-flow workflows, using SQL, dbt, and Python tooling in a fintech setting.
Develops computer vision and vision-language models using PyTorch/TensorFlow to improve Reolink’s AI-powered security cameras.
Develop and optimize AI models (e.g., CNN, Transformer, ViT) for computer vision and surveillance, using Python/C++ and frameworks like PyTorch/TensorFlow.
Build and scale production-ready ML infrastructure for ASR and LLM systems, collaborating with research and MLOps teams to deploy robust AI workflows.
Build and deploy generative AI models (LLMs, multimodal) using Azure Databricks, Hugging Face, and LangChain for content personalization, automation, and semantic analysis.
Build and deploy AI/ML models and NLP systems using Python, PyTorch, and scikit-learn to create self-learning applications and scalable AI solutions.
Build and deploy machine learning models on Azure using Python, Azure ML, and Databricks to deliver data-driven insights and predictive analytics for business stakeholders.
Principal Engineer designs and leads backend infrastructure for Encord’s AI data platform, building scalable distributed systems and APIs that power model training and evaluation at scale.
APPLICATION DEADLINE: Friday, April 17th at 5:00pm central time , we encourage you to apply soon if interested. We recognize that job searching can sometimes feel uncertain and are committed to keeping you informed…
Lead a team building scalable data pipelines and AI-driven analytics using Python, Spark, and PyTorch to process large-scale datasets for enterprise clients.
Build and maintain ETL pipelines and production ML systems on Azure, deploying models with Databricks and PySpark while ensuring data quality and model performance.
Builds and maintains data pipelines and infrastructure to power AI/ML applications, collaborating with data scientists to integrate models into systems.
Build AI-powered full stack apps for food & beverage supply chains, integrating ML models into production systems and user interfaces using Python, React, and cloud-native tools.
Builds full-stack web apps with Python backend and React frontend, integrates ML models using PyTorch, and deploys scalable cloud-native services on Kubernetes.
Senior ML Engineer builds and fine-tunes AI models for financial services, from data prep to serving, using Python/R and PyTorch/TensorFlow.
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