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Specialist | Full-Time Digital Solutions & Development > Digital Solutions > AI/ML Chapter Do you enjoy creating and scaling AI/ML solutions that deliver meaningful business results? Do you have experience in…
Who we are VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the…
About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and…
Staff Robotics Software Engineer at Intrinsic (Google's AI robotics group) in Munich, responsible for developing and deploying industrial grasping and manipulation algorithms end-to-end using C++, Python, and machine learning.
The role involves developing and deploying AI/ML models (MLOps Engineer) and extracting insights from data (Data Scientist) for Akkodis’ global tech/engineering projects, focusing on Python, Kubernetes, and data pipelines.
Onsite ML engineer in Springfield, VA designing, building, and maintaining ML systems (predictive models, recommendation engines, anomaly detection) using Python, Kubernetes, PyTorch/TensorFlow, and MLOps tooling for a national security contractor.
Build and optimize deep learning computer vision models for autonomous agricultural and construction vehicles, working with multi-sensor data and deploying to edge platforms using PyTorch and TensorFlow.
Senior AI Engineer designing, building, and deploying LLM-powered applications, retrieval pipelines, and predictive models using modern backend frameworks, SQL, and cloud environments for a San Juan-based AI solutions firm.
Build and deploy AI/ML models (NLP, computer vision, prediction) using Python and cloud tools to automate workflows and improve decision-making in a design-focused architecture firm.
Lead AI and full-stack development for a Singapore SME financing marketplace, building LLM-powered document analysis, credit/fraud models, and financial data pipelines using Python, modern web frameworks, and cloud platforms.
Design and develop large-scale ML/deep learning systems for Knowledge Q&A powering Siri and Spotlight, using Python/Scala/Go, Spark, and PyTorch/TensorFlow over knowledge graphs and web documents.
Data Scientist/ML Engineer responsible for the full data lifecycle—designing, training, and deploying machine learning models in production environments using Python, SQL, and ML frameworks.
An AI Engineer focused on improving software development workflows by integrating AI tools to automate code review, testing, and deployment, enhancing efficiency and quality across engineering teams.
Build production-grade ML systems for HVAC energy efficiency using sensor data, time-series modeling, and anomaly detection in a climate-tech startup.
This is a remote position. Develop and maintain web applications using Next.js and React . Integrate blockchain technologies (e.g., Ethereum, Solana, or others) into web applications, including smart contracts,…
Develops AI/ML models and analyzes large datasets for national security applications using Python, PyTorch, and TensorFlow in a Maryland-based role.
Senior Solutions Architect role advising DigitalOcean's largest customers on AI/ML cloud infrastructure, including deploying and fine-tuning LLMs (DeepSeek, Llama, Claude), optimizing GPU workloads with CUDA/TensorRT, and designing scalable AI applications using Kubernetes and NFS. Works closely with Sales and Customer Success teams to drive retention and expansion.
Data Scientist in McLean, VA applies NLP and Python/SQL to transform raw text and structured data into actionable insights for national security decision-makers.
The Cloud Solutions Architect will design and implement AI/ML solutions and data architectures for national security projects. The role requires expertise in AI frameworks, data modeling, and cloud infrastructure, specifically within a high-security clearance environment.
Senior data scientist builds and deploys computer vision models for object detection and scene understanding in secure defense environments using Python and C++.
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