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Senior AI Engineer designing, building, and operating ML/AI systems for real-time space domain awareness, using Python, ML frameworks, SQL, and Databricks/Spark on large-scale sensor and orbital datasets.
Develops and maintains AI/ML models for Google’s Search Ads auto-bidding system, optimizing bid predictions to improve advertiser ROI and satisfaction using deep learning and large-scale systems.
Build and deploy ML models for game features like matchmaking, economy balancing, and toxicity detection using Python, PyTorch, and cloud infrastructure.
Designing prompts for advanced AI models and developing Data & AI solutions using Python, TensorFlow, and PyTorch at a professional services firm in Milan.
Data Scientist & AI Engineer role in Rome (hybrid, 3 days/week on-site) focusing on Python-based ML/NLP solutions, leveraging HuggingFace, OpenAI, and generative AI technologies.
Develop and improve face biometric technologies, focusing on machine learning algorithms for authentication, liveness detection, and fraud prevention using Python/C++ and deep learning frameworks like PyTorch or TensorFlow.
Principal ML Engineer builds and deploys scalable AI systems for industrial operations, transforming unstructured data into actionable insights using deep learning, generative AI, and computer vision.
Deploy and optimize trained ML models onto resource-constrained edge hardware using C++, TensorRT, and ONNX, profiling inference on accelerators to meet strict latency, memory, and power budgets for an autonomous defense system.
Lead a machine learning team building and deploying ads engagement prediction models (click-through, video view-through) at Reddit, overseeing the full ML lifecycle with deep learning frameworks.
Overview Would you like to work on a product that transforms Microsoft AI technologies and a modern-work suite to help millions of users work better and faster together? Do you enjoy working with teams that leverage AI…
Build a real-time, on-device speech translation iOS app using Swift, Core ML, and AVAudioEngine for a federal mission environment.
About Goodie AI: Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand…
Mid-level Full Stack developer based in Recife (on-site, PJ contract) building web apps with React/Next.js and Node.js/NestJS, with a strong focus on integrating AI capabilities (LLMs, RAG, AI agents) into products.
Lead a team of data scientists to design, validate, and deploy ML/LLM solutions, ensuring technical rigor and measurable business impact while mentoring peers.
The AI/ML Engineer will design, develop, and maintain scalable AI/ML pipelines and integrate models, including LLMs and Generative AI, into production environments. The role involves collaborating with data scientists and software engineers to optimize model performance and implement MLOps best practices using cloud platforms and containerization.
Build and deploy ML models for Robinhood’s core ranking, recommendation, and personalization systems using PyTorch, XGBoost, and distributed frameworks like Spark and Kubernetes.
Principal Machine Learning Scientist at TripAdvisor in London designing and scaling AI systems for travel discovery, ranking, and recommendations using deep learning and graph-based methods.
Senior Machine Learning Scientist at TripAdvisor in London building and optimizing ML models for travel experiences discovery, including search, ranking, and content AI using Python and deep learning frameworks.
Principal ML Scientist at TripAdvisor building and scaling AI-driven travel discovery systems—ranking, retrieval, and sequential recommendations—using deep learning, graph methods, and multi-objective optimization to power real-time itinerary search for millions of users.
MaintainX is seeking a Senior Applied Machine Learning Engineer to lead the architecture and development of predictive maintenance and asset intelligence systems. The role involves building end-to-end ML pipelines, leveraging LLMs and IoT data to optimize industrial operations, and mentoring a team of developers.
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