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Builds and improves machine-learning models for football analytics, using Python, SQL, and advanced stats to deliver insights for fans, bettors, clubs, and scouts.
Build and deploy ML models to personalize recommendations and connections across Bumble’s dating and social platforms using PyTorch/TensorFlow and modern AI techniques.
Lead the design and deployment of ML models to detect fraud in merchant transactions using graph-based features, GNNs, and real-time pipelines in a regulated financial setting.
Lead a data-science team building marketing models, recommendation engines, and customer-segmentation for a UK ecommerce retailer using Python, SQL, and neural networks.
Builds Python backend services and AI agents that integrate ML models into production on embedded Linux devices, optimizing for performance and resource constraints.
Build and optimize real-time computer vision and 3D tracking systems to turn video data into athlete performance insights, deploying neural networks on edge hardware and extending movement analysis pipelines.
We are building a new Systems-Level Integration (SLI) team focused on Smart high-performance Inertial Sensors and Systems. As a Machine Learning Engineer in our expanding Riyadh office, you will pioneer the use of Deep…
Builds secure back-end services in C#/Python and ASP.NET and front-end UIs in WPF/TypeScript for enterprise R&D projects, collaborating across multi-site teams.
Dual student in Data Science & Scientific Computing working on big-data analytics, machine learning, and cybersecurity for autonomous vehicles and connected mobility projects.
Build and maintain ML models to analyze 4G/5G network performance, troubleshoot issues, and create dashboards for stakeholders using Python, Spark, and cloud tools.
Build and optimize computer-vision models for Datature’s MLOps platform, integrating cutting-edge neural networks and prototyping new vision algorithms for clients in niche domains like medicine and agriculture.
Build and test components for generative AI and LLM applications under supervision, including RAG pipelines and prompt engineering, using Python and ML frameworks.
Build and scale ML infrastructure for brain-computer interface R&D, including distributed training pipelines and large-scale data platforms to support neuroscientific modeling and neural decoding.
Build and deploy ML models and Generative AI solutions to solve business problems, using Python, PyTorch, and cloud tools in a product-focused team.
Build and deploy ML/AI models (traditional and generative) in Python/R/SQL, lead end-to-end projects, and mentor teams to drive business outcomes.
Lead a team of data scientists to build ML models and real-time analytics for IoT and supply-chain solutions, using Databricks and forecasting techniques to optimize Zebra’s products and customer outcomes.
Principal Solutions Architect designs and advises on AI, ML, and HPC infrastructure, connecting DDN’s data platform to customer challenges to improve performance and accelerate insights.
Build production-grade AI/ML systems that turn complex dairy-farm data into actionable insights using AWS, Databricks, and modern AI frameworks.
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and…
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